Model predictive current control with adaptive-adjusting timescales for PMSMs
Feng Niu, Xi Chen, Shaopo Huang, Xiaoyan Huang, Lijian Wu, Kui Li, Youtong Fang
Abstract
A model predictive current control (MPCC) with adaptive-adjusting method of timescales for permanent magnet synchronous motors (PMSMs) is proposed in this paper to improve the dynamic response and prediction accuracy in transient-state, while lessening the computational burden and improving the control performance in steady-state. The timescale characteristics of different parts of MPCC, such as signal sampling, prediction calculation, control output, model error correction, are analyzed, and the algorithm architecture of MPCC with multi-timescale is proposed. The difference between reference and actual speed, and the change rate of actual speed are utilized to discriminate the transient state of speed change and load change, respectively. Adaptive-adjusting method of control period and prediction stepsize are illustrated in detail after operation condition discrimination. Experimental results of a PMSM are presented to validate the effectiveness of proposed MPCC. In addition, comparative evaluation of single-step MPCC with fixed timescale and proposed MPCC is conducted, which demonstrates the superiority of proposed control strategy.