Abstract
Model predictive current control, which inherits from vector control framework, is expected to become a promising control strategy to improve the dynamic performance of servo system because of its simple structure and fast dynamic response. However, the mismatch parameters will cause the stator current prediction errors, resulting in the deterioration of dynamic performance, the increase of steady-state error and stator current harmonic. To solve this problem, a simple stator current predictor is proposed in this paper, which construction principle is to introduce feedback mechanism in discrete domain. Based on the discrete control theory, the design method of feedback coefficient is analyzed in detail. In addition, the design method of cost function is usually based on the stator current tracking error in the current step, which can not realize the direct optimization of stator current harmonics. In this paper, a target-oriented cost function is designed. Its design principle directly takes the harmonic content of stator current as the optimization target, so as to select the optimal voltage vector. The experimental results show that compared with the traditional methods, the proposed method significantly improves the dynamic performance, steady-state performance and robustness of the control system.
Highlights
Finite control set-model predictive control (FCS-MPC) has been widely studied in the field of power electronics and motor control because of its intuitive concept, fast dynamic response and easy to deal with multi-objective optimization [1]–[5]
In [18], robust predictive current control with online disturbance estimation is proposed for induction machine drives, where the parameter variations and other unmodeled dynamics can be compensated by Luenberger disturbance observer
This paper presents a simple and robust closed-loop stator current prediction model and a targeted-oriented cost function
Summary
Finite control set-model predictive control (FCS-MPC) has been widely studied in the field of power electronics and motor control because of its intuitive concept, fast dynamic response and easy to deal with multi-objective optimization [1]–[5]. In the predictive current control of induction motor, based on the stator current prediction equation and cost function, the voltage vector that minimizes the stator current tracking error is selected as the optimal vector and implemented at the sampling time [8]. In [18], robust predictive current control with online disturbance estimation is proposed for induction machine drives, where the parameter variations and other unmodeled dynamics can be compensated by Luenberger disturbance observer. In [23], a vector resonant controller with an active disturbance rejection control (ADRC) controller is proposed to suppress current harmonics of PMSM, where ADRC can estimate harmonic signal and generate compensated stator voltage. This paper presents a simple and robust closed-loop stator current prediction model and a targeted-oriented cost function. The stator current equation (6) can be obtained by simultaneous equations (1)-(5), where σ
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