Integrated Control Strategy of Bearingless Switched Reluctance Motor Based on Active Disturbance Rejection Control

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-01-01 DOI:10.1109/TIE.2024.3519561
Xuan Wang;Xilian Wang;Zhuliang Huang;Baohua Wang;Ruikang Yang
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Abstract

Traditional proportion integration differentiation (PID) controller is difficult to solve the contradiction between response speed and overshoot, and its anti-interference ability is limited. To solve the problem, an integrated control strategy of bearingless switched reluctance motor based on active disturbance rejection control (ADRC) is proposed. A first-order speed ADRC controller and a second-order displacement ADRC controller are designed for direct instantaneous torque control and direct instantaneous force control system, respectively. With the integral time-weighted absolute error (ITAE) as the optimization objective, the particle swarm optimization algorithm is used to tune the main parameters of the ADRC controllers, overcoming the drawbacks of adjusting parameters manually, such as complex operation and time consumption. Simulations and experiments are carried out. The results demonstrate that the control strategy has superior dynamic and static response performance in both speed and displacement control and has good application prospects.
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基于自抗扰控制的无轴承开关磁阻电机综合控制策略
传统的比例积分微分(PID)控制器难以解决响应速度与超调量之间的矛盾,且抗干扰能力有限。针对这一问题,提出了一种基于自抗扰控制(ADRC)的无轴承开关磁阻电机综合控制策略。针对直接瞬时转矩控制和直接瞬时力控制系统,分别设计了一阶速度自抗扰控制器和二阶位移自抗扰控制器。以积分时间加权绝对误差(ITAE)为优化目标,采用粒子群优化算法对自抗扰控制器的主要参数进行整定,克服了手工整定参数操作复杂、耗时等缺点。进行了仿真和实验。结果表明,该控制策略在速度和位移控制方面都具有良好的动静态响应性能,具有良好的应用前景。
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来源期刊
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics 工程技术-工程:电子与电气
CiteScore
16.80
自引率
9.10%
发文量
1396
审稿时长
6.3 months
期刊介绍: Journal Name: IEEE Transactions on Industrial Electronics Publication Frequency: Monthly Scope: The scope of IEEE Transactions on Industrial Electronics encompasses the following areas: Applications of electronics, controls, and communications in industrial and manufacturing systems and processes. Power electronics and drive control techniques. System control and signal processing. Fault detection and diagnosis. Power systems. Instrumentation, measurement, and testing. Modeling and simulation. Motion control. Robotics. Sensors and actuators. Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems. Factory automation. Communication and computer networks.
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