The Research of Adaptive Robust Predictive Current Control Algorithm of Permanent Magnet Synchronous Motors

Abstract

Predictive current control algorithm which based on deadbeat theory is studied in this paper which can improve the current control performance of PMSM. In order to obtain high control effect, on-line access to accurate motor parameters such as fault diagnosis, condition monitoring is important in many areas, especially to improve the traditional deadbeat predictive current control algorithm sensitivity to inductance error, this paper presents an inductor-based parameter identification current predictive control algorithm of permanent magnet synchronous motor based on least mean square (LMS) theory. By Simulation the identified inductance will be feed back to the control model to improve the system tolerance of inductance error. A 0.75KW PMSM is involved to verify the performance of the proposed algorithm, then present and analyse the simulation and experiment results.

Three‐vector model‐free predictive control for permanent magnet synchronous motor

“…[14]. Domestic and foreign scholars have conducted a series of studies to address the problem of motor parameters mismatch leading to the degradation of control system performance [15][16][17][18][19][20][21][22], such as disturbance observer design [15], online parameter identification [16], robust algorithm research [17], and model-free control [18][19][20]. Compared with the traditional perturbation observer, the extended state observer (ESO) can be used in the system without relying on the exact system model, the lumped estimation of internal and external interference is realized [19].…”

“…In [16], the accuracy of the model is improved by online parameter identification, but the computational cost is high. In [17], the influence of inductance mismatch on the predictive model is reduced by reasonably designing the weights of predictive and feedback currents, which effectively improves the adaptability of the control system to inductance mismatch, but ignores the influence of flux and resistance mismatch on the control system. With the proposed model-free control method [20], a novel solution is offered to solve the control performance degradation issue caused by PMSM parameter mismatches.…”