Browsing by Author "Tamura, Junji"

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A Fuzzy Logic Controller with Tuning Output Scaling Factor for Induction Motor Control Taking Core Loss into Account
(IJISAE, 2014-09) Mannan, Mohammad Abdul; Murata, Toshiaki; Tamura, Junji
This paper presents a design of a fuzzy logic controller (FLC) with tuning output scaling factor for speed control of indirect field oriented induction motor (IM) taking core loss into account. The variation of output scaling factor of FLC depends on the normalized output of FLC. Firstly the speed control of IM taking core loss into account is presented by using FLC with fixed scaling factors (FLC-FSF). Secondly the speed controller based on suggested FLC with tuning output scaling factor (FLC-TOSF) is proposed. The performance of the proposed FLC-TOSF for speed control of IM are investigated and compared to those obtained using FLC-SFS at different operating conditions and variation of parameters. A comparison of simulation results shows that the convergence of actual speed to reference speed is faster by using the proposed FLC-TOSF.
A Fuzzy-Logic-Based Self-Tuning PI Controller for High-Performance Vector Controlled Induction Motor Drive
(Taylor and Francis, 2006-04) Mannan, Mohammad Abdul; Murata, Toshiaki; Tamura, Junji; Tsuchiya, Takeshi
Vector control (VC) of an induction motor (IM) is generally implemented by applying a proportional and integral (PI) controller owing to its simple design technique. The performance of an IM deteriorates under the variations of load torque and parameters where the gains of a PI controller are kept constant. Therefore this paper presents a self-tuning PI (ST-PI) controller based on fuzzy logic control (FLC) theory for high performance of an IM. According to the pole placement technique, the gains of a PI controller are tuned by applying FLC. The effectiveness of the proposed fuzzy-logic-based ST-PI controller is demonstrated through simulation results. These clarify that the proposed ST-PI controller can provide better response than a conventional PI controller.
A Robust Virtual Inertia Control of Battery Storage System to Enhance Transient Stability of Grid System including Wind Farms
(American International University-Bangladesh (AIUB), 2020-12) Sultana, Rima; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Tamura, Junji
With the rising penetration of modern converter-based wind farm (WF) into the existing grid system deteriorates system inertia due to reduction of the capacity of conventional power stations which may lead to the frequency instability as well as power system transient instability. In order to solve this concern, this paper presents a robust virtual inertia control approach for battery storage system (BSS) to enhance the frequency stability of the grid system after the generation failure owing to severe grid disruption. The control approach integrated inertial controller based on the rate of change of frequency (ROCOF) and droop controller according to frequency deviation. The impacts of the proposed virtual inertia controller (VIC) is confirmed through simulation analysis on a multi-machine power system with conventional power stations, permanent magnet synchronous generator (PMSG) with full converter based WF and squirrel cage induction generator (SCIG) based WF. Simulation study clearly demonstrates that by adopting both strategies, the BSS can effectively minimize the frequency nadir and steady-state error.
A Robust Virtual Inertia Control of Battery Storage System to Enhance Transient Stability of Grid System including Wind Farms
(AIUB Journal of Science and Engineering (AJSE), 2020-12-31) Sultana, Rima; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Tamura, Junji
With the rising penetration of modern converter-based wind farm (WF) into the existing grid system deteriorates system inertia due to reduction of the capacity of conventional power stations which may lead to the frequency instability as well as power system transient instability. In order to solve this concern, this paper presents a robust virtual inertia control approach for battery storage system (BSS) to enhance the frequency stability of the grid system after the generation failure owing to severe grid disruption. The control approach integrated inertial controller based on the rate of change of frequency (ROCOF) and droop controller according to frequency deviation. The impacts of the proposed virtual inertia controller (VIC) is confirmed through simulation analysis on a multi-machine power system with conventional power stations, permanent magnet synchronous generator (PMSG) with full converter based WF and squirrel cage induction generator (SCIG) based WF. Simulation study clearly demonstrates that by adopting both strategies, the BSS can effectively minimize the frequency nadir and steady-state error.
Adaptive Parameters Identification with Bilinear Observer of Induction Motor Taking Core-Loss into Account
(American International University-Bangladesh (AIUB), 2012-08) Mannan, Mohammad Abdul; Murata, Toshiaki; Tamura, Junji
In this paper, an adaptive parameter identification system is designed to estimate the stator resistance, rotor resistance and core-loss resistance of an induction motor (IM) taking core-loss into account. The designed procedure of the identification technique is based on the model reference adaptive system (MRAS) theory. In order to design the MRAS, an adjustable model (AD), which is a mathematical model of IM, should be designed. Since the mathematical expression of an IM behaves like a bilinear system, a bilinear model of IM is considered in AD. A bilinear observer is also designed to estimate the unmeasured state quantities of IM. By means of Lyapunov stability criterion, the gain of bilinear observer and the updating law of parameters can be found by choosing an appropriate reference model. The magnetizing current and rotor flux are estimated from the terminal measured values by using adaptive bilinear observer. The performance of observer and proposed identification technique are verified by simulation results, which are carried out by Matlab/Simulink software. The simulation results are found to have excellent performance for estimation of unmeasured state quantities and changeable parameters of IM taking core loss into account.
Augmentation of DC-Link Protection System of PMSG Based Wind Turbine Using Fuzzy Logic Controlled Buck Controller System
(AIUB Journal of Science and Engineering (AJSE), 2020-09) Haque, Md. Zubairul; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Tamura, Junji
Recently, permanent magnet synchronous generator (PMSG) is one of the most familiar type of generator for wind power plant (WPP). Generally, PMSG is connected to gird using back to back converter. During fault period, power imbalance situation is happened between machine side and gird converter. As a result, the DC-link voltage can be rise significantly which can damage the whole converter system. In this paper, a novel DC-Link protection system of buck converter based on fuzzy logic is designed in order to augment the transient stability of the PMSG system. The new buck converter along with its control system is designed to manage the supplied voltage of the braking resistor during fault period. For investigating the performance of the proposed system, fault analysis is performed on different case scenarios PSCAD/EMTDC software.
Augmentation of DC-Link Protection System of PMSG Based Wind Turbine Using Fuzzy Logic Controlled Buck Controller System
(AIUB Journal of Science and Engineering (AJSE), 2020-09-30) Haque, Md. Zubairul; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Tamura, Junji
Recently, permanent magnet synchronous generator (PMSG) is one of the most familiar type of generator for wind power plant (WPP). Generally, PMSG is connected to gird using back to back converter. During fault period, power imbalance situation is happened between machine side and gird converter. As a result, the DC-link voltage can be rise significantly which can damage the whole converter system. In this paper, a novel DC-Link protection system of buck converter based on fuzzy logic is designed in order to augment the transient stability of the PMSG system. The new buck converter along with its control system is designed to manage the supplied voltage of the braking resistor during fault period. For investigating the performance of the proposed system, fault analysis is performed on different case scenarios PSCAD/EMTDC software.
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(David Publisher, 2017-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(David Publisher, 2017-01-15) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Comparative Analysis between Conventional PI, Fuzzy Logic and Artificial Neural Network Based Speed Controllers of Induction Motor with Considering Core Loss and Stray Load Loss
(Journal of Mechanics Engineering and Automation, David Publisher, 2017-01-15) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Most of the controllers of IM (induction motor) for industrial applications have been designed based on PI controller without consideration of CL (core loss) and SLL (stray load loss). To get the precise performances of torque as well as rotor speed and flux, the above mentioned losses should be considered. Conventional PI controller has overshoot effect at the transient period of the speed response curve. On the other hand, fuzzy logic and ANN (artificial neural network) based controllers can minimize the overshoot effect at the transient period because they have the abilities to deal with the nonlinear systems. In this paper, a comparative analysis is done between PI, fuzzy logic and ANN based speed controllers to find the suitable control strategy for IM with consideration of CL and SLL. The simulation analysis is done by using Matlab/Simulink software. The simulation results show that the fuzzy logic based speed controller gives better responses than ANN and conventional PI based speed controllers in terms of rotor speed, electromagnetic torque and rotor flux of IM.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(2020-02-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(2020-02-01) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Coordinated Control Scheme of Battery Storage System to Augment LVRT Capability of SCIG-Based Wind Turbines and Frequency Regulation of Hybrid Power System
(MDPI, 2020-02) Hazari, Md. Rifat; Jahan, Effat; Mannan, Mohammad Abbdul; Tamura, Junji
Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG)-based wind farms (WFs) are increasing significantly. However, FSWT-SCIGs have no low voltage ride-through (LVRT) and frequency control capabilities, which creates a significant problem on power system transient and steady-state stability. This paper presents a new operational strategy to control the voltage and frequency of the entire power system, including large-scale FSWT-SCIG-based WFs, by using a battery storage system (BSS). The proposed cascaded control of the BSS is designed to provide effective quantity of reactive power during transient periods, to augment LVRT capability and real power during steady-state periods in order to damp frequency fluctuations. The cascaded control technique is built on four proportional integral (PI) controllers. The droop control technique is also adopted to ensure frequency control capability. Practical grid code is taken to demonstrate the LVRT capability. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF with BSS. Triple-line-to-ground (3LG) and real wind speed data are used to analyze the hybrid power grid’s transient and steady-state stability. The simulation results indicate that the proposed system can be an efficient solution to stabilize the power system both in transient and steady-state conditions.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ, Japan, 2019-04) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ Transactions on Power and Energy, 2019-04-01) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Damping of Frequency Fluctuations of Hybrid Power System by Variable Deloaded Operation of PMSG Based Offshore Wind Farm
(IEEJ Transactions on Power and Energy, 2019-04-01) Jahan, Effat; Hazari, Md. Rifat; Mannan, Mohammad Abdul; Umemura, Atsushi; Takahashi, Rion; Tamura, Junji
This paper focuses on a novel variable deloaded operation of variable speed wind turbines with permanent magnet synchronous generators (VSWT-PMSGs) based offshore wind farm (OWF) to maintain primary reserve, which is connected to onshore grid through voltage source converter based high voltage DC (VSC-HVDC) transmission system. A centralized droop controller with dead band is designed for VSWT-PMSGs to utilize this reserve power to suppress the frequency fluctuations of the onshore grid due to the installations of large-scale fixed speed wind turbines with squirrel cage induction generators (FSWT-SCIGs) based wind farm (WF) and photovoltaic (PV) power station. The combination of variable deloaded operation and centralized droop controller can give better frequency regulation and decrease energy loss due to the deloaded operation. The effectiveness of the proposed variable deloaded operation and centralized droop controller is verified through simulation analyses on a modified IEEE nine-bus test system. The simulation results reveal that the variable deloaded operation can decrease the energy loss compared to the fixed deloaded operation as well as suppress the frequency fluctuations in the same level as the fixed deloaded operation.
Design & Simulation of Fuzzy Logic Based Speed Control of SPWM Inverterfed Electrical Vehicle with IPMSM taking Core loss into Account
(2017) Ahmed, Farzana; Mannan, Mohammad Abdul; Hassan, Md. Kamrul; Tamura, Junji
Because of advantages of Electrical Vehicles (EV), people are becoming more interested in using them rather than using mechanical differentials. In electrical vehicles different types of electrical machines such as Interior Permanent Magnet Synchronous Motor (IPMSM), Surface Permanent Magnet Synchronous Motor (SPMSM), Induction Motor etc. are used. The design of a controller is a challenging work, as the output of the motor has to match with vehicle input. So, far, most of the reported works have utilized proportional-integral (PI) controllers as the speed control. But, the disadvantages of PI controller are well known, as its design depends on the exact motor parameters and the performance is sensitive to system disturbances. The main objective of this paper is to replace the conventional PI controller by a Fuzzy logic controller (FLC) which is capable of handling highly non-linear Sinusoidal Pulse Width Modulation (SPWM) inverter fed IPMSM motor for high performance application in Electrical Vehicle The effectiveness of designed Fuzzy Logic controller of an electrical differential for an EV system based on the IPMSMs taking core loss into account with SPWM inverter is evaluated by Matlab/Simulink software. In simulation work different road conditions for EV are considered. After the simulation the designed controller is found to be robust for the speed control application of Electrical Vehicle with IPMSM taking core loss into account.
Design and Simulation DFIM Driven Electrical Vehicles Based on IP Controller
(American International University-Bangladesh (AIUB), 2018-07) Zubair, Al-Mayhedee; Mannan, Mohammad Abdul; Tamura, Junji
The environment friendly blessings of Electrical Vehicles (EV), human beings are becoming extra involved in the use of them alternatively than the usage of mechanical differentials. In electrical vehicles distinct sorts of electrical machines are used among them DFIM is used in this work. The challenging work is to design of a controller as the output of the motor has to match with vehicle input. So, far, most of the mentioned works have utilized Proportional-Integral (PI) controllers as the speed control. But, the negative aspects of PI controller are properly known, as its design depends on the specific motor parameters and the overall performance is sensitive to system disturbances. The fundamental goal of this paper is to replace the conventional PI controller by means of an IP controller which is successful of dealing with exceedingly non-linear DFIM motor for high performance application in Electrical Vehicle. The effectiveness of designed IP controller of an electrical differential for an EV system is evaluated through Matlab/Simulink software. In simulation work different road conditions for EV are considered. After the simulation the designed controller is found to be strong for the speed control application of Electrical Vehicle.
Design and Simulation of a Sliding Mode High Performance Controller with Full Order Observer Based on the Energy Model of Induction Motor
(American International University-Bangladesh (AIUB), 2009-08) Mannan, Mohammad Abdul; Murata, T.; Tamura, Junji
The sliding mode control system is able to have a high gain, robust to external and parameter disturbances, and capable to ensure the desired motion dynamics. Since the dynamics of an induction motor can be represented by multi-input and multi-output state space energy model, a multi-input and multi-output sliding mode controller is designed to obtain high-performance speed and torque control of an induction motor based on the energy model. The stability of designed controller is confirmed by satisfying the Lyapunov stability criteria. Since all state variables are not accessible, a full-order observer, whose gains are obtained by using the Lyapunov stability criteria, is also designed to estimate the unmeasured state variables. The effectiveness of the designed controller and observer system are verified by simulation using Matlab/Simulink.
Design and Simulation of an Improved PI Speed Control of Indirect Field-Oriented Induction Motor
(American International University-Bangladesh (AIUB), 2008-08) Mannan, Mohammad Abdul; Murata, T.; Tamura, Junji
PI controller is still the most commonly used controller in the industrial applications despite the development of advanced control techniques due to their simplicity. Usually, the conventional PI controller constants are determined by trial and error, which suffer from the instability for the variation of disturbance and system parameters. Also, always steady state error is occurred where PI controller constants are chosen by trial and error. Therefore, to overcome such a drawback, in this paper an improved PI speed control of SVM technique of PWM inverter fed indirect field-oriented induction motor is designed. To improve the steady state error and the stability of the proposed PI controller, the gain of PI controller is selected using the pole-placement technique. The poles of closed loop controller are chosen as negative real from the dynamic motion of induction motor. The effectiveness of the proposed method has been demonstrated by simulation study. The simulation results show good performance using the improved PI controller.