基于LMS算法的自适应控制在稳定回路中的应用

成像器稳定跟踪平台的稳定回路设计是一种高精度、高动态响应的伺服回路设计，为实现较好的控制特性，提出了一种基于LMS算法的Adaline网络参数自适应控制方法，根据被控对象的参数变化，实时调整控制器的参数，由于算法相对简单，满足实际工程应用的要求。为了避免自适应算法运算对系统响应快速性的影响，设计了基于常规控制和自适应控制的双模态控制器结构，根据实际工作条件，进行控制策略的实时切换，既保证了系统响应的快速性，又保证了控制精度。实验结果表明，采用该方法实现的稳定回路具有良好的动态和静态特性。

Adaptive control method based on LMS algorithm applied the stabilization loop

The stabilization loop design of stabilization and track table for the infrared imaging is a servo-loop design with high stabilization accuracy and good dynamic characteristics. In order to realize better control performance ,an adaptive control method of Adaline neural network based on LMS algorithm is adopted. This method can select initial weights of neural network based on LMS. The control parameters Can be adjusted on line. The algorithm is relatively simple and can meet the engineering requirement. In order to avoid the operating influence of adaptive control on the quick response of the system, a double modal control structure based on the normal control and adaptive control is designed. It can be switctied according to the target parameters in real-time, so the quick response of the system and the control precision are guaranteed. The experimental results show that this stabilization loop design has good static and dynamic performance.