Sensorless Control of PMSM Based on FOC Strategy and Fractional Order PI Controller

Nicola, Marcel; Nicola, Claudiu-Ionel; Duță, Marian

doi:10.1109/epe50722.2020.9305608

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…However, the above papers need to consider more internal parameter variations and load perturbations in the system. More seriously, they all focus on integer order, ignoring the fractional order characteristics of the PMSM system [17,18].…”

Section: Introductionmentioning

confidence: 99%

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

Zhang,

Ma,

et al. 2023

Energies

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A permanent magnet synchronous motor (PMSM) is a nonlinear, strongly coupled, controlled object with time-varying, fractional-order characteristics. It is difficult to achieve the ideal control effect by using the traditional control method when motor parameter changes and load perturbations occur during the operation of the PMSM, so a fractional-order adaptive fuzzy backstepping control method is proposed to improve the system’s fast response and anti-jamming ability in the case of sudden changes in rotational speed, load perturbations and other conditions. Initially, the fractional order theory is introduced, backstepping control is utilized to decompose the system into multiple subsystems, and a fractional order-based Lyapunov function is designed for each subsystem to ensure the system’s stability. Suitable control laws, as well as parameter adaptive laws, are derived through rigorous mathematical derivation. Finally, a fractional order adaptive fuzzy backstepping controller (FOAB-FPID) is designed by combining the advantages of fuzzy control. Then a mechanical simulation model of the PMSM is established to verify the validity of the designed controller, followed by three sets of comparative experiments: PID, fuzzy PID (F-PID), and integer-order adaptive fuzzy backstepping (IOAB-FPID), which are selected to simulate the PMSM under the control of the four controllers. Finally, it is validated on the constructed PMSM experimental platform. Simulation and experimental results show that FOAB-FPID can adaptively adjust system parameters during sudden speed changes, achieve real-time speed tracking, and maintain speed stability under load perturbations and internal parameter uptake. Compared with the three control strategies, reached PMSM system has better acceleration, fast response performance, and better anti-disturbance ability, which proves the rationality and effectiveness of the FOAB-FPID control method.

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Section: Introductionmentioning

confidence: 99%

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

Zhang,

Ma,

et al. 2023

Energies

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“…The above methods are effective for precision control but each has certain limits. Aleksej Kiselev extended generalized predictive control (GPC) algorithm [ 16 ] based on Laguerre function to track the previously known reference trajectory, which has better tracking performance than field oriented control (FOC) [ 17 , 18 , 19 ], the standard position control strategy of PMSM, but due to the influences of external interference, model parameter mismatch and finite prediction to time domain, predictive control does not work well on the global system, and the system performance is affected. In addition, the studies on the gain-scheduling control approach are provided.…”

Section: Introductionmentioning

confidence: 99%

Research on Position and Torque Loading System with Velocity-Sensitive and Adaptive Robust Control

Chen

Zhang

2022

Sensors

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In this paper, the research emphasis focuses on the tracking precision of position loading and torque loading systems with velocity-sensitive and adaptive robust control. Compared with conventional PID control, the improved PID control based on velocity-sensitive fully manifests its superiority to position loading. By contrast, we analyzed the possible influence for the control difference of conventional PID and velocity-sensitive with PID. Furthermore, for the purpose of accurate torque loading, a mathematical model was established through dynamics analysis and the adaptive robust controller, where the adaptive robust control algorithm is designed to generate the reference position trajectory for the servo system in the upper controller while closed-loop position tracking is performed in the underlying controller, was built based on a state space equation. In the end, an experimental platform was built to verify the feasibility and advantages of the position and torque loading system with the velocity-sensitive and adaptive robust control.

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Sensorless Control of PMSM Based on FOC Strategy and Fractional Order PI Controller

Cited by 2 publications

References 11 publications

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

Research on PMSM Speed Performance Based on Fractional Order Adaptive Fuzzy Backstepping Control

Research on Position and Torque Loading System with Velocity-Sensitive and Adaptive Robust Control

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