摘要
雷达伺服系统的控制策略,能够直接影响雷达探测范围、跟踪精度、实时性、稳定性等性能指标,是制约雷达系统性能的关键之一。为改善雷达伺服系统的控制性能,提高系统的稳定性和鲁棒性,提出一种复合控制策略。在详细分析雷达伺服系统动力学特性的基础上,建立了雷达伺服系统的动力学数学模型;然后基于该数学模型,设计出一种基于迭代学习控制和模糊PID控制的复合控制策略,应用模糊PID控制以提高伺服系统的动态性能和鲁棒性,应用迭代学习控制以提高伺服系统的稳态精度。仿真结果证明,所设计的复合控制能够保证雷达伺服系统的稳定性,而且控制精度高,鲁棒性好,控制性能良好;因而能够有效地提高雷达系统的性能,具有良好的实际应用价值。
The control strategy of radar servo system is one of the key factors that limit the performance of radar system, which can affect the radar coverage, tracking accuracy, real-time, and stability. For improving the control performance of radar servo system, the compound control system is built. Through the dynamic analysis, the dynamic model of system is build, and the compound control strategy is designed based on iterative learning control theory and fuzzy PID control theory. Fuzzy PID control theory could improve the dynamic property and the robustness of system, and iterative learning control theory could improve the stability accuracy of system. The result of simulation proves the validity of compound control strategy, which could keep the stability of system, and improve the control accuracy and robustness of system. Then the compound control strategy can improve the performance of radar system, and could be applied in practice.
出处
《科技视界》
2016年第12期3-5,共3页
Science & Technology Vision
作者简介
官伯林（1979-），男，博士，工程师，研究方向为雷达伺服系统结构和控制设计、光电跟踪策略和算法、光机电一体化。
