Adaptive Sliding Mode Active Disturbance Rejection Control of PMLSM Based on Simulated Annealing Particle Swarm Optimization Algorithm
sliding mode active disturbance rejection control(SM-ADRC)， permanent magnet linear synchronous motor(PMLSM)， simulated annealing particle swarm optimization(SAPSO)， parameters tuning
Control methods for linear drives
Final Paper
xu zhang / Faculty of Mechanical Engineering & Automation; Zhejiang Sci-Tech University
To solve the problems of mass parameters and difficulty adjustment of traditional active disturbance rejection controller (ADRC), a novel sliding mode active disturbance rejection control (SM-ADRC) is proposed in this paper. The new control strategy can effectively reduce the number of parameters need to tune, and it is applied to the speed and current loops of PMLSM. In addition, the simulated annealing particle swarm optimization (SAPSO) algorithm is introduced to carry out the off-line optimization study of the parameters of SM-ADRC speed controller to further simplifies the parameter setting process. Simulation results show that the proposed method can not only overcome the difficulty of parameters setting, but will also improve the dynamical performance and steady-state speed tracking precision of PMLSM. Moreover, it enhances robustness to internal and external disturbances and reduces the electromagnetic thrust ripple.
