Dynamic Performance Improvement for High-Speed SRMs Using an Enhanced Linear Active Disturbance Rejection Control

IF 7.2 1区 工程技术 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Electronics Pub Date : 2025-02-03 DOI:10.1109/TIE.2025.3532739
Yanfang Hu;Lidong Cai;Cunjiang Gu;Haonan Wang
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Abstract

For the purpose of improving the dynamic performance of high-speed switched reluctance motor (SRM), this article proposes an improved linear active disturbances rejection control (LADRC) based on an angle position control (APC) method. First, an improved LADRC with gain coefficient and the high-order derivative observation of disturbances is developed to accurately estimate time-varying differential disturbances. The tracking performance and stability of the improved LADRC are analyzed under different disturbances. Then the proposed control is applied to the drive system, and the average torque in the commutation interval is calculated using the instantaneous torque at the rotor control position to obtain the turnon angle in angle position control. Next, the rotor control position is discussed and the turnon angle calculation and the average back-electromotive force (EMF) compensation elements are introduced to improve the dynamic performance. Finally, the proposed LADRC are established and validated based on simulations and experiments for a 6/4-pole high-speed SRM.
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利用增强型线性自抗扰控制改进高速SRMs动态性能
为了提高高速开关磁阻电机(SRM)的动态性能,提出了一种基于角度位置控制(APC)方法的改进型线性自抗扰控制(LADRC)。首先,提出了一种具有增益系数和扰动高阶导数观测的改进LADRC,以准确估计时变微分扰动。分析了改进LADRC在不同干扰下的跟踪性能和稳定性。然后将所提出的控制方法应用于驱动系统,利用转子控制位置的瞬时转矩计算换相区间内的平均转矩,从而得到角位置控制中的转矩角。其次,讨论了转子的控制位置,并引入了转矩角计算和平均反电动势补偿元件来改善转子的动态性能。最后,通过6/4极高速SRM的仿真和实验验证了所提出的LADRC。
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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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