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Robust MPC-PIC force control for an electro-hydraulic servo system with pure compressive elastic load

机译:具有纯压缩弹性载荷的电动液压伺服系统的鲁棒MPC-PIC力控制

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摘要

For accurate force tracking of an electro-hydraulic servo system (EHSS), this paper presents a state-space representation of model predictive control (MPC). EHSS is highly nonlinear because of the transmission nonlinearities, variations of the trapped fluid volume, internal friction, and nonlinear load-based nonlinearities. A nonlinear mathematical model is built, and model parameters are identified using a grey-box system identification method. Then MPC is firstly designed, and to improve the robustness, a nominal mathematical model with proportional integral control (PIC) is constructed for MPC design. Three implementation scenarios are investigated in MATLAB/Simulink and real-time LabVIEW-based experimental rig. The control performance is compared between and among PIC, MPC, and hybrid MPC-PIC controller.
机译:为了精确跟踪电动液压伺服系统(EHSS)的力,本文提出了模型预测控制(MPC)的状态空间表示。由于传输非线性,截留流体体积的变化,内部摩擦以及基于非线性负载的非线性,EHSS是高度非线性的。建立非线性数学模型,并使用灰箱系统识别方法识别模型参数。然后,首先设计MPC,为了提高鲁棒性,构建了带有比例积分控制(PIC)的标称数学模型用于MPC设计。在MATLAB / Simulink和基于LabVIEW的实时实验装置中研究了三种实现方案。比较了PIC,MPC和混合MPC-PIC控制器之间的控制性能。

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