针对极小瞬时视场毫米波导引头对目标发现概率低的技术难题,文中提出一种适合其预定回路特点及要求的单神经元自适应PID控制的改进算法。分别对预定回路采用增量式PID控制、单神经元PID(SNAPID)控制和改进单神经元PID(ISNAPID)控制进行仿真对比分析,结果表明改进算法具有较强的抗干扰能力和快速响应能力,并对控制律增量有一定的约束作用,能有效改善导引头预定回路动态性能,提高框架角控制精度,有利于导引头检测和截获目标。

In order to solve the problem of low probability of target detection using the MMW seeker with tiny instantaneous field of view, an improved-single-neural-adaptive-PID strategy was posed, which can meet the characteristics and requirements of the MMW seeker. We have simulated the performance of the predefined circuit when employing incremental PID control, single-neural-adaptive-PID( SNAPID) control and improved-single-neural-adaptive-PID(ISNAPID) control respectively and the results showed that ISNAPID control is robust against interference and has quick response. Furthermore, it imposes certain constraints to the increments of control law. Thus, it is not only able to improve the seeker's dynamic performance and the accuracy of seeker gimbals angle, but also facilitates the detection and capture target.