Abstract
The conflict between dynamic rapidity and steady-state accuracy is a crucial factor hindering the performance improvement of motor control system. To overcome the issue, this article proposes an optimized cooperative control combining feedback linearization (FBL) and error port-controlled Hamiltonian (EPCH) for permanent magnet synchronous motor (PMSM). First, FBL and EPCH are separately designed to obtain good dynamic and steady-state performances. Then, considering the individual advantages of FBL and EPCH, a cooperative strategy based on the real-time position error is applied to realize the smooth switching between the two methods, so that each method is utilized efficiently within the corresponding operating range. In addition, the particle swarm optimization (PSO) algorithm is introduced to properly select the controller parameters. Thus, an optimized cooperative control method, which takes into account both fast dynamic response and high steady-state precision, is developed for PMSM drives. The experimental results are finally given to illustrate the effectiveness and superiority of the proposed method.
Highlights
D UE to the inherent characteristics of simple structure, good reliability and high energy efficiency, permanent magnet synchronous motor (PMSM) drive system and its control are known as an attractive research topic in the industrial applications, such as electric vehicles, robots, machine tools [1]
In order to test the performance of the cooperative control method under soft start, the exponential signal is used as the position reference, that is θ∗= 50 1 − e−2t rad
Faced with the challenge of realizing the dual objectives of fast dynamic response and high steady-state precision, a cooperative control strategy is proposed for PMSM drives in this article
Summary
D UE to the inherent characteristics of simple structure, good reliability and high energy efficiency, permanent magnet synchronous motor (PMSM) drive system and its control are known as an attractive research topic in the industrial applications, such as electric vehicles, robots, machine tools [1]. Many solutions have been discussed from the aspects of rapidity, stability and accuracy to realize the high-performance tracking of the PMSM drive system. These control methods are usually categorized into two types. Due to its advantages of fast dynamic response, FBL control method has received deep investigation in recent research works [6]– [10]. In [11], a state feedback controller based on gray wolf optimization algorithm has been designed for the high performance control of a permanent-magnet synchronous hub motor (PMSHM) drive, in which the linearized PMSHM mathematical model is obtained by voltage feedforward compensation.
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