PM Synchronous Motor Drive for Electric Vehicles by Using an Adaptive Controller

Rathod, Gajanan K.; Thosar, Archana; Dhote, V. P.; Zalke, Rakesh

doi:10.1109/icetietr.2018.8529029

Cited by 3 publications

(3 citation statements)

References 9 publications

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“…A classical PI controller coupled with an adaptive speed observer was analyzed in [20]. Although a speed sensor is not required here, the problem of PI controller tuning still remains.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PMSM Control of Ship Electric Propulsion with Energy-Saving Features

Zwierzewicz,

Tarnapowicz,

Nerć

2024

Energies

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Electric ship propulsion is considered one of the most promising alternatives to conventional combustion systems. Its goal is to reduce the carbon footprint and increase a ship’s maneuverability, operational safety, and reliability. The high requirements for ship propulsion make permanent magnet synchronous motors (PMSMs) an attractive solution due to their characteristics. This paper discusses the control problem of a PMSM based on the input–output feedback linearization method combined with the optimal and adaptive control techniques. The method presented here integrates the parameter tuning process with the optimal design of the baseline controller. Since the load disturbances are treated as an additional unknown parameter, there is no need to introduce an integral action to deal with the resulting steady-state error. An important feature of the designed controller is the so-called energetic optimization of the system; i.e., in addition to the aforementioned adaptive and optimal controller, it has a feature of ensuring zero reactive power consumed by the system. The performed simulations of the machine speed stabilization process confirmed the high efficiency of the proposed controller despite the assumed uncertainty of the system parameters and environmental (load) disturbances. Besides achieving high-quality control, an essential feature of this approach is the elimination of the tuning problem.

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“…A classical PI controller coupled with an adaptive speed observer was analyzed in [20]. Although a speed sensor is not required here, the problem of PI controller tuning still remains.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PMSM Control of Ship Electric Propulsion with Energy-Saving Features

Zwierzewicz,

Tarnapowicz,

Nerć

2024

Energies

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“…Many controllers such as predictive controller, hysteresis controller and adaptive controllers are developed and employed in the speed control of EVs [8][9][10]. Because of fewer complications in its operation and implementation fuzzy controller is utilised in this research.…”

Section: Introductionmentioning

confidence: 99%

Modelling, Simulation and Analysis of Indirect Space Vector Control of Electric Vehicle Driven by Permanent Magnet Synchronous Motor with Fuzzy Controller

Yalavarthy¹,

Gadi²

2022

MMEP

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This paper presents the design of an indirect space vector control (ISVC) of electric vehicle (EV) driven by permanent magnet synchronous motor (PMSM) utilizing the fuzzy logic control (FLC) approach for personnel transportation. Regulating the power flow in any vehicle is essential for optimal vehicle dynamics. A variety of propulsion motors are used in the system for such transmission. But PMSM is most efficient in terms of power density and torque. This study proposes a fuzzy controller based control technique for speed and torque control of PMSM drive and the simulated outcomes are compared with traditional PI controller under various motor loaded conditions. In this paper, EV dynamics are considered and ISVC strategy for PMSM is implemented. The PMSM is energized by space vector pulse width modulation (SVPWM) inverter. The system is modelled and simulated in MATLAB \ SIMULINK environment for steady speed-varying torque and varying speed-steady torque conditions. A wide range of speed drive profile is suggested for EV, consisting of accelerating, constant speed, decelerating, and rough road surface modes. Based on the results, the control technique was confirmed to be effective. The results indicate that the control scheme used is efficient throughout the wide range of speeds.

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“…The speed and torque response, speed error dq-current response is represented with simulation results. Rathod et al [18] present the PMSM drive system using an Adaptive control mechanism for Electric vehicles. The Adaptive control mechanism is incorporated as an observer, which estimates the actual torque feedback value with linearization.…”

Section: Introductionmentioning

confidence: 99%

Modeling and analysis of field-oriented control based permanent magnet synchronous motor drive system using fuzzy logic controller with speed response improvement

Sahridayan

Gopal²

2022

IJECE

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The permanent magnet synchronous motor (PMSM) acts as an electrical motor mainly used in many diverse applications. The controlling of the PMSM drive is necessary due to frequent usage in various systems. The conventional proportional-integral-derivative (PID) controller’s drawbacks are overcome with fuzzy logic controller (FLC) and adopted in the PMSM drive system. In this manuscript, an efficient field-oriented control (FOC) based PMSM drive system using a fuzzy logic controller (FLC) is modeled to improve the speed and torque response of the PMSM. The PMSM drive system is modeled using abc to αβ and αβ to abc transformation, 2-level space vector pulse width modulation (SVPWM), AC to DC rectifier with an inverter, followed by PMSM drive, <a name="_Hlk107566912"></a>proportional integral (PI) controller along with FLC. The FLC’s improved fuzzy rule set is adopted to provide faster speed response, less % overshoot time, and minimal steady-state error of the PMSM drive system. The simulation results of speed response, torque response, speed error, and phase currents are analyzed. The FLC-based PMSM drive is compared with the conventional PID-based PMSM drive system with better improvements in performance metrics.

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PM Synchronous Motor Drive for Electric Vehicles by Using an Adaptive Controller

Cited by 3 publications

References 9 publications

Adaptive PMSM Control of Ship Electric Propulsion with Energy-Saving Features

Adaptive PMSM Control of Ship Electric Propulsion with Energy-Saving Features

Modelling, Simulation and Analysis of Indirect Space Vector Control of Electric Vehicle Driven by Permanent Magnet Synchronous Motor with Fuzzy Controller

Modeling and analysis of field-oriented control based permanent magnet synchronous motor drive system using fuzzy logic controller with speed response improvement

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