Research on permanent magnet synchronous motor based on fractional order fuzzy sliding mode control

Chen, Xia; Li, Shuangshuang; Cui, Yanwei; Xu, Yunwang; Xu, Mingxin

doi:10.1109/cac.2017.8243503

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…This controller incorporated proportional valve dead band compensation, and experimental results demonstrated its suitability for tunnel boring applications. In the literature [31], a fuzzy control method was introduced to eliminate the tracking error of hydraulic cylinders and the synchronization error between hydraulic cylinders. There was no coupling between the two channels in both master-slave and parallel synchronous control with the load imbalance of double hydraulic cylinders.…”

Section: Introductionmentioning

confidence: 99%

Cross-Coupled Sliding Mode Synchronous Control for a Double Lifting Point Hydraulic Hoist

Sun,

Dong,

2023

Sensors

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This paper proposes a sliding mode synchronous control approach to enhance the position synchronization performance and anti-interference capability of a double lifting point hydraulic hoist. Building upon the cross-coupling synchronous control method, a coupling sliding mode surface is formulated, incorporating the single-cylinder following error and double-cylinder synchronization error. Additionally, a sliding mode synchronous controller is devised to ensure the convergence of both the single-cylinder following and synchronization error. The hyperbolic tangent function is introduced to reduce the single-cylinder following error and the buffeting of the double-cylinder synchronization error curve under sliding mode synchronous control. The simulation results show that the synchronization accuracy of the sliding mode cross-coupling synchronization control in the initial stage of the system is 53.1% higher than that of the Proportional-Derivative (PD) cross-coupling synchronization, and the synchronization accuracy in the steady state of the system is improved by 90%. The designed synchronous controller has better performance under external disturbances.

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Section: Introductionmentioning

confidence: 99%

Cross-Coupled Sliding Mode Synchronous Control for a Double Lifting Point Hydraulic Hoist

Sun,

Dong,

2023

Sensors

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“…Then, fractionalorder control strategies are more widely used in nonlinear system control [25]. Some new control algorithms and strategies are proposed [26][27][28][29], such as fractional order PID control, fractional order sliding mode control, fractional order differential equation-based control, adaptive fractional order control, etc. Some scholars and experts demonstrated that inductance and capacitance are essentially fractional orders [30], so existing PMSM systems suffer from non-integer orders in kinetic processes with memory and hereditary mass diffusion or heat conduction [31], and fractional order theory has been increasingly applied to PMSM control with good results in recent years.…”

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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Fuzzy Sliding Mode Control of Permanent Magnet Synchronous Motor Based on the Integral Sliding Mode Surface

Long

Huang

Zheng

et al. 2019

2019 22nd International Conference on Electrical Machines and Systems (ICEMS)

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Research on permanent magnet synchronous motor based on fractional order fuzzy sliding mode control

Cited by 4 publications

References 1 publication

Cross-Coupled Sliding Mode Synchronous Control for a Double Lifting Point Hydraulic Hoist

Cross-Coupled Sliding Mode Synchronous Control for a Double Lifting Point Hydraulic Hoist

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

Fuzzy Sliding Mode Control of Permanent Magnet Synchronous Motor Based on the Integral Sliding Mode Surface

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