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论文摘要

基于定量反馈理论的液压机驱动系统复合鲁棒控制

Hybrid Robust Control for Drive System of Hhydraulic Press Machine Based on QFT

作者:范彬(中南大学 机电工程学院,湖南城市学院 机电工程学院);潘晴(中南大学 机电工程学院)

Author:Fan Bin(College of Mechanical and Electrical Eng.,Central South University,College of Mechanical and Electrical Eng.);Pan Qing(College of Mechanical and Electrical Eng.,Central South University)

收稿日期:2015-11-26          年卷(期)页码:2016,48(5):186-191

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:鲁棒控制;不确定系统;干扰抑制;定量反馈理论;液压机;速度控制;神经网络

Key words:robust control;uncertain systems;disturbance rejection;quantitative feedback theory;hydraulic press;velocity control;neural network

基金项目:国家自然科学基金资助项目(51205420);中南大学自由探索计划资助项目(2011QNZT055);湖南教育厅科学研究项目(14C0208)

中文摘要

针对液压机驱动系统参数摄动和不确定性的特点,建立了系统数学模型,提出了动梁速度外环控制和压力内环控制的分级复合鲁棒控制策略。外环级应用定量反馈理论,设计了鲁棒性较强的速度跟踪控制器和前置滤波器。内环级设计了基于径向基函数的神经网络扰动观测补偿器,运用Lyapunov稳定性定理证明了提出的干扰观测器对扰动抑制的有效性,可在不确定因素存在的情况下实现期望的系统压力跟踪控制。仿真结果表明:该控制方案对系统不确定性的抑制作用明显,且能提高液压机驱动系统的跟踪性能,具有较好的鲁棒稳定性,可有效实现速度切换瞬态过程的平顺性。

英文摘要

In view of the characteristics of parameter perturbation and uncertainty for drive system of hydraulic press,the mathematical model of drive system was established and a hybrid multi level robust control scheme that employed inner loop pressure tracking and outer loop velocity control was proposed.The outer loop velocity output tracking controller and prefilter were designed by using the Quantitative Feedback Theory.In the inner loop level,a nonlinear disturbance observer based upon radial basic function neural network was developed to track desired pressure with system uncertainties.Also,the ability of disturbance rejection for the disturbance observer was proved based on Lyapunov stability theorem.Simulation results show that the presented control strategy can improve the dynamic performance of the driven system and restrain the system uncer tainty evidently.Furthermore,the proposed approach is able to realize the smoothness with strong robust stability during the velocity switching transient period effectively.

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