考虑参数慢时变的泵马达系统变速恒频控制研究

doi:10.3901/JME.260066

摘要/Abstract

摘要： 针对泵马达变速恒频系统在液压系统参数慢时变和外部参数扰动下的控制难题，提出一种结合反馈线性化与径向基函数(Radial basis function,RBF)神经网络自适应的复合控制策略。首先，建立泵马达系统的非线性数学模型，通过反馈线性化理论处理系统非线性特性，将其转化为线性形式；其次，利用RBF神经网络在线逼近系统中的未知函数项，并设计自适应算法实时调整神经网络权值矩阵及控制参数，以应对参数慢时变特性。将研究的泵马达闭式变速恒频系统应用于风力发电场景，仿真结果表明，在外部风速扰动和内部参数变化的共同作用下，该控制策略能够有效维持变量马达转速在并网国家标准(1 500±6) r/min范围内，保证风电机组顺利并网。最后，通过搭建24 kW液压型风电机组半物理仿真试验平台，对所提出的变速恒频控制策略进行了试验验证。试验结果进一步证实了理论分析和仿真研究的正确性，即所研究的控制策略在实际应用中具有良好的抗扰动性能和控制精度，为发电装备中的泵马达变速恒频系统的稳定、精准运行和高效能量捕获提供了有力的技术支撑。

关键词: 泵马达系统, 变速恒频控制, 参数慢时变, 反馈线性化, 径向基函数神经网络, 自适应控制

Abstract: To address the control challenge of variable speed constant frequency(VSCF) operation in pump-motor systems under slow time-varying hydraulic parameters and external disturbances, a composite control strategy integrating feedback linearization with adaptation of the radial basis function(RBF) neural network is proposed. Firstly, a nonlinear mathematical model of the pump-motor system is established. System nonlinearities are addressed through feedback linearization theory, transforming them into a linear form. Secondly, an RBF neural network is utilized for the online approximation of unknown function terms within the system, combined with an adaptive algorithm designed to dynamically adjust the neural network weight matrix and controller parameters in real time, thereby accommodating the slow time-varying parameter characteristics. The closed-loop pump-motor VSCF system studied in this paper is applied in a wind power generation system. The simulation results demonstrate that, under combined external wind speed disturbances and internal parameter variations, the proposed control strategy effectively maintains the speed of the variable displacement motor within the standard range of national grid connection(1 500±6) r/min, ensuring successful integration to grid. Finally, experimental validation is conducted on a 24 kW hydraulic wind turbine semi-physical simulation platform. The experimental results further confirm the correctness of the theoretical analysis and simulation studies, indicating that the investigated control strategy exhibits excellent anti-disturbance capability and control precision in practical applications. This research provides robust technical support for the stable operation and efficient energy capture of VSCF pump-motor systems in power generation equipment.

Key words: pump-motor system, variable-speed constant-frequency control, slow time-varying parameters, feedback linearization, radial basis function neural network, adaptive control

中图分类号:

TG156

陈文婷, 王文龙, 张震, 艾超, 张珈瑞, 杜泽莉. 考虑参数慢时变的泵马达系统变速恒频控制研究[J]. 机械工程学报, 2026, 62(2): 455-470.

CHEN Wenting, WANG Wenlong, ZHANG Zhen, AI Chao, ZHANG Jiarui, DU Zeli. Study on Variable Speed Constant Frequency Control of Pump-motor Systems Considering Slow Time-varying Parameters[J]. Journal of Mechanical Engineering, 2026, 62(2): 455-470.

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