摘要
不确定性条件下的控制问题是现代控制中的一个重要课题。在大多数控制问题中,实际的控制对象和用于控制器设计的数学模型总是存在差异,这种差异来自于对象参数的不确定性和时变等。轧机液压位置伺服系统是具有参数不确定性、干扰因素多的复杂的非线性控制系统,所建模型较实际对象存在较大误差。为消除这种模型误差所产生的稳态误差,文中在稳态误差溯源及模型修正的基础上构建并联积分补偿、增益积分补偿、在线辨识自校正和动态反馈控制策略,对比仿真结果表明:动态反馈算法具有兼顾动静态性能指标的优势。
The control problem under the condition of uncertainty is an important subject of modern control field. In most control problems,the actual control object and mathematical model for the controller design are always present differences. These differences come from the object parameter uncertainty and time-varying,etc. Mill hydraulic position servo system is the complex nonlinear control system with parameter uncertainty and lots disturbance factors. There is biggish error bewteen the established model and the actual object. In order to eliminate the steady-state error caused by this kind of model error,parallel integral compensation,gain integral compensation,online identification self-calibration and dynamic feedback control strategies were built on the basis of source tracing of the steady state error and model correction. The simulation results in comparsion show that the dynamic feedback algorithm has the advantages of both dynamic and static performance index.
出处
《机床与液压》
北大核心
2016年第9期57-61,共5页
Machine Tool & Hydraulics
基金
国家自然科学基金青年项目(51305389)
国家冷轧板带装备及工艺工程技术研究中心开放课题和国家智能制造专项(发改办高技[2014]2558)资助
关键词
模型精度
控制精度
状态反馈
控制器算法
Model accuracy
Control precision
State feedback
Controller algorithm
