Abstract
In order to improve the position tracking precision of dual permanent magnet synchronous motor (PMSM) systems, a unified nonlinear predictive control (UNPC) strategy based on the unified modeling of two PMSM systems is proposed in this paper. Firstly, establishing a unified nonlinear model of the dual-PMSM system, which contains uncertain disturbances caused by parameters mismatch and external load changes. Then, the position contour error and tracking errors are regarded as the performance index inserted into the cost function, and the single-loop controller is obtained by optimizing the cost function. Meanwhile, the nonlinear disturbance observer is designed to estimate the uncertain disturbances, which is used for feed-forward compensation control. Finally, the proposed strategy is experimentally validated on two 2.3 kW permanent magnet synchronous motors, and the experimental results show that effectiveness and feasibility of proposed strategy.
Highlights
Model predictive control (MPC) presents a fast dynamic response performance, and it has been widely applied in the permanent magnet synchronous motor (PMSM) drive systems, which provide an new idea for the improvement of the multi-motor control structure [15,16,17]
In order to simplify the structure of traditional dual-PMSM system and achieve fast and high-precision cooperative control of the position trajectory, the PMSMs of dual motor systems are treated as a whole to establish a unified nonlinear model, and a compact controller of double motors is designed by unified nonlinear predictive control (UNPC) algorithm
To improve the position control performance of dual-PMSMs system, a UNPC strategy based on the unified modeling of the double PMSMs is proposed in this paper
Summary
Structure was proposed in [13] This method adjusted the coupling gain coefficient in real time based on the changing rules of the position trajectory, so that the position tracking’s performance on a multi-motor system increased. Model predictive control (MPC) presents a fast dynamic response performance, and it has been widely applied in the PMSM drive systems, which provide an new idea for the improvement of the multi-motor control structure [15,16,17]. The CCC is formulated as a model predictive control problem and the controller structure of the system is determined by solving the control law based on the optimal control theories, which presents better dynamic performance and better position tracking performance.
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