摘要
为实现系统跟踪期望输出及系统未知参数的在线闭环辨识,针对带反馈干扰的未知参数系统,结合最小方差控制算法和增广最小二乘法设计了自校正调节器。首先通过对反馈通道干扰的分析,给出了系统的等效模型;其次,按系统输出最小方差的原理设计了控制器,实现了系统跟踪期望输出;第三,运用增广最小二乘法对系统参数的辨识,给出未知参数的无偏一致估计,实现了参数的在线闭环辨识。通过对未知参数的辨识,用所辨识的参数计算调节器的参数,完成对控制律的修改,实现了系统跟踪期望输出和参数的在线闭环辨识。最后,利用该方法对实例进行了仿真研究。仿真结果表明:所提方法简单可行。
Considering a system with unknown parameters which are disturbers in the feedback channel,a new equivalent model was established by analyzing the disturbance at first.Secondly,the minimum variance theory was used to design the controller to realize the expecting output of the system tracking.Thirdly,the recursive extended least square method was applied to identify the unknown parameters in closed-loop.In conclusion,this paper fulfilled the expecting output of the system tracking by amending the control formula which was calculated by the parameters identification in closed-loop.Several simulation results prove the simplicity and feasibility of this method.
出处
《海军工程大学学报》
CAS
北大核心
2010年第6期5-8,共4页
Journal of Naval University of Engineering
基金
国家自然科学基金资助项目(60974136)
关键词
自校正控制
在线闭环辨识
最小方差控制
self-tuning control
closed-loop identification
minimum variance control
