Speed Sensor‐Less Control System of Surface‐Mounted Permanent Magnet Synchronous Motor Based on Adaptive Feedback Gain Supertwisting Sliding Mode Observer

2023

Sensors

Autonomous driving technology has not yet been widely adopted, in part due to the challenge of achieving high-accuracy trajectory tracking in complex and hazardous driving scenarios. To this end, we proposed an adaptive sliding mode controller optimized by an improved particle swarm optimization (PSO) algorithm. Based on the improved PSO, we also proposed an enhanced grey wolf optimization (GWO) algorithm to optimize the controller. Taking the expected trajectory and vehicle speed as inputs, the proposed control scheme calculates the tracking error based on an expanded vector field guidance law and obtains the control values, including the vehicle’s orientation angle and velocity on the basis of sliding mode control (SMC). To improve PSO, we proposed a three-stage update function for the inertial weight and a dynamic update law for the learning rates to avoid the local optimum dilemma. For the improvement in GWO, we were inspired by PSO and added speed and memory mechanisms to the GWO algorithm. Using the improved optimization algorithm, the control performance was successfully optimized. Moreover, Lyapunov’s approach is adopted to prove the stability of the proposed control schemes. Finally, the simulation shows that the proposed control scheme is able to provide more precise response, faster convergence, and better robustness in comparison with the other widely used controllers.

Section: Introductionmentioning

confidence: 99%

Highly Robust Adaptive Sliding Mode Trajectory Tracking Control of Autonomous Vehicles

Xie

Liang

2023

Sensors

“…With the development of rare earth materials and digital processors, permanent magnet synchronous motor, as a potential new energy power actuator, is increasingly applied in wind power generation, electric vehicles, and other fields [1,2,3]. The traditional PMSM vector control adopts double closed-loop control or three closed-loop control, and the most widely used is double closed-loop PI control, that is, the outer loop speed loop and the inner loop current loop both adopt PI controller.…”

Section: Introductionmentioning

confidence: 99%

Generalized super-twisting sliding mode control of permanent magnet synchronous motor based on sinusoidal saturation function

Yang

Yan

IEICE Electron. Express

2022

To improve the dynamic quality of the PMSM servo system, a generalized super-twisting sliding mode control strategy based on the sinusoidal saturation function is proposed in this paper. Firstly, the dynamic mathematical model of PMSM is established. Then, a sliding mode variable structure speed controller is designed based on the generalized super-twisting algorithm. To weaken the chattering phenomenon, the sinusoidal saturation function is used instead of the sign function. Finally, the effectiveness of the proposed strategy was verified by MATLAB/Simulink simulation platform and compared with GSTA-SMC, STA-SMC and SMC based on exponential reaching law, the proposed strategy improved the response speed and immunity of the system while reducing chattering.

“…PMSM has been widely used in industry because of its high control accuracy and high-power factor [1,2,3,4,5].…”

Section: Introductionmentioning

confidence: 99%

Application of new sliding mode control in vector control of PMSM

Yang

Tang²,

IEICE Electron. Express

2022

Aiming at the characteristics of low observation accuracy and high chattering of traditional sliding mode observers (SMO), a new SMO is proposed to reduce chattering and improve accuracy. In PMSM vector control, PI control has the problems of poor anti-disturbance ability and speed pulsation, while the traditional sliding mode control (SMC) has the problem of serious chattering, Therefore, on this basis, an SMC based on the new reaching law is designed, and the simulation is carried out in Matlab/ Simulink. The simulation results show that the improved SMO has better performance and stronger stability than the traditional SMO. At the same time, compared with the traditional SMC and PI control, the SMC based on the new reaching law can make it respond well when the motor target speed changes suddenly, and effectively improve the problem of traditional SMC chattering, The control accuracy and steady-state error of the PMSM system are improved.