Optimal Power Matching Design for the Electromechanical Actuator Directly Driven by Switched Reluctance Motor Based on Load Characteristic Analysis
Long Yun1, Du Jinhua2, Wang Xuping1, Bai Yinru1, Yang Yugang1
1. College of Electrical and Power Engineering Taiyuan University of Technology Taiyuan 030024 China; 2. School of Electrical Engineering Xi’an Jiaotong University Xi’an 710049 China
Abstract:This paper presents an optimal power-matching design methodology for a switched-reluctance motor-based direct-drive electromechanical actuator (SRM-based EMA), intended for the steering vane system of a landing craft air cushion (LCAC) hovercraft. The SRM-based EMA offers distinct advantages for such demanding applications, including a rugged mechanical construction, the absence of permanent magnets, and a reduced risk of mechanical jamming, which significantly enhance its suitability for harsh operating environments. However, the practical implementation of the SRM-based EMA faces inherent challenges, including strong electromechanical coupling, pronounced nonlinearities, and significant torque ripple. This paper proposes a method to minimize redundant power and reduce the actuator's overall size and weight, without compromising its ability to meet stringent dynamic performance requirements. The load characteristics of the steering vane system are analyzed. First, the kinematic relationship between the angular displacement of the steering vane and the linear motion of the SRM-based EMA is established. Then the total load force, comprising aerodynamic, frictional, and inertial components, is derived. Assuming sinusoidal motion, the load characteristic curve is formulated and graphically represented as a tilted ellipse in the force-velocity plane. Subsequently, the ideal mechanical characteristic curve of the SRM-based EMA is determined using the tangency principle to fully envelope this load curve. This approach enables identification of the optimal power-matching point, thereby minimizing surplus power and improving system efficiency. Key mechanical and electrical parameters of the SRM-based EMA are systematically designed. Specifically, the pitch of the ball screw is determined through a careful trade-off between torque requirements and mechanical strength, ensuring both adequate load-driving capability and structural integrity. Meanwhile, the switched reluctance motor (SRM) is designed with an 8/6-pole configuration, selected to enhance fault tolerance and enable flexible commutation under diverse operating conditions. To bridge the gap between theoretical design and practical implementation, an iterative optimization process is introduced to align the SRM-based EMA's actual mechanical characteristics with the ideal performance curve. Thus, the real system performance fully envelops the required load characteristics under the practical constraint of magnetic saturation. A prototype of the SRM-based EMA is fabricated and tested under various operating conditions. The step response of the system exhibits a rise time of 0.82 s, a steady-state error of less than 1%, and no overshoot, indicating excellent dynamic tracking performance and system stability. Under a 3 Hz sinusoidal input, the frequency response shows an amplitude attenuation of less than 1.97 dB and a phase lag of less than 25.92°, thereby satisfying all specified dynamic performance requirements. The proposed optimal power-matching strategy reduces the SRM-based EMA's rated power to 940 W while maintaining full compliance with system load demands and performance specifications. This study offers an effective design strategy for developing compact, high-efficiency electromechanical actuation systems for aerospace and industrial automation.
龙云, 杜锦华, 王旭平, 白崟儒, 杨玉岗. 基于负载特性分析的磁阻式直驱机电作动器最佳功率匹配设计[J]. 电工技术学报, 2026, 41(20): 6930-6945.
Long Yun, Du Jinhua, Wang Xuping, Bai Yinru, Yang Yugang. Optimal Power Matching Design for the Electromechanical Actuator Directly Driven by Switched Reluctance Motor Based on Load Characteristic Analysis. Transactions of China Electrotechnical Society, 2026, 41(20): 6930-6945.
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