现代雷达伺服系统大多采用的是PID控制, 而传统PID控制在非线性系统、 时变系统和大惯性系统下具有一定的局限性.针对雷达伺服系统的复杂数学模型, 提出一种利用遗传算法改进的径向基函数神经网络设计模糊PID控制器的方法,从而使PID控制器具有自适应性,强鲁棒性,稳定性等特点,并将该系统运用在雷达伺服系统中来提高其灵敏度响应.仿真分析表明,基于遗传算法改进的径向基函数神经网络的模糊PID控制器设计具有一定的优势,在实际运用中是有效可行的.%Most of the modern radar servo systems adopt PID control, but the conventional PID con-trol has limitations in nonlinear system, time varying system and large inertial system.Thus, due to the complicated mathematical model for radar servo system, the design method of fuzzy PID controller based on improved RBF neural network obtained from genetic algorithm is put forward.This controller has the a-daptability, strong robustness and stability, and is applied in the radar servo system to improve the re-sponse sensitivity.Simulation results show that this design has some advantages, and is feasible and effec-tive in practical application.
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