基于傅里叶级数的非线性学习控制算法  

Research of a Nonlinear and Learning Control Algorithm Based on Fourier Series

作　　者：唐小琦[1] 周济[1] 蔡李隆[2] 

机构地区：[1]华中理工大学机械科学与工程学院 [2]香港科技大学

出　　处：《华中理工大学学报》1999年第2期1-3,共3页Journal of Huazhong University of Science and Technology

摘　　要：提出了一种基于傅里叶级数的非线性学习控制算法．当系统的任务可重复或系统的理想输出为周期函数时，在傅里叶空间内可以将时域内的轨迹跟踪问题简化为多个独立的调节器问题，因而大大简化学习控制器的设计．在滚珠丝杠工作台上的实验表明。A nonlinear control learning algorithm based on Fourier series is proposed. When the system's task is repetitive or the desired trajectory is a period function, the tracking problem in time domain can be simplified as some regulation problems in Fourier space, resulting in great simplification of the controller. The experimental results in a NC table showed that the controller designed in Fourier space has fast convergent rate and satisfied closed loop performance.

关 键 词：傅里叶级数 学习控制 轨迹跟踪 非线性系统 算法 

分 类 号：TP273.22[自动化与计算机技术—检测技术与自动化装置]