机载光电跟踪系统的模糊自适应控制  

The Research on Fuzzy Self-adjusting Control of Airborne Electro-optical Pointing and Tracking Systems

作　　者：高嵩[1] 徐晓霞[1] 肖秦琨[1] 李智军[1] 

机构地区：[1]西安工业大学电子信息工程学院,西安710032

出　　处：《西安工业大学学报》2009年第6期565-569,共5页Journal of Xi’an Technological University

基　　金："十一五"兵器预研基金支撑项目(62301110115)

摘　　要：为了提高机载光电跟踪伺服控制系统的控制性能,提出了一种基于模糊推理的变论域自适应控制算法.详细论述了稳定跟踪系统的数学模型,并对变论域控制算法的原理进行了详细介绍.采用变论域控制算法能够有效的避免对伸缩因子函数模型和模型参数的选择,同时能够降低系统论域的反复调节,提高系统的收敛速度和控制精度.为了验证控制性能,利用经典PID控制、模糊控制、模糊自适应PID控制三种算法对机载光电稳定跟踪系统进行仿真比较.仿真结果表明模糊自适应PID控制算法和经典PID控制相结合,在保持原有系统精度的前提下,使机载光电跟踪伺服控制系统的动态性能得到了改善,不仅可以满足系统的精度要求,还具有较强的自适应能力和鲁棒性.In order to improve the control performance of airborne electro- optical pointing and tracking systems,a variable domain control system based on fuzzy inference, is presented. Discussed in detail the stability of the mathematical model for tracking system is discussed. The principle of variable domain control algorithms is described in detail. Control algorithm with variable domain can effectively avoid choice of stretching function and model parameters, and can reduce the repeated regulation. So it improves the system convergence speed and control accuracy. In order to verify the control performance, comparison simulation is made using the classical PID control, fuzzy control, fuzzy adaptive PID control algorithms. The simulation results indicate that the algorithm combines a new fuzzy control algorithm with classic PID control algorithm and greatly improves the dynamic performance of the airborne electro -optical pointing and tracking systems while keeping the systematic precision of the original system. It has good capability and ensures the precision of the system with better adaptability and robustness.

关 键 词：机载光电跟踪系统 模糊控制 自适应 变论域 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]