导弹控制系统的随机混合自适应方案研究

本文提出了一种新的适用于战术导弹控制系统的随机系统控制方案——最小方差混合自校正控制。在这种方案中,具有随机干扰噪声的控制对象保持连续时间状态,而控制参数的估计和调整是离散的,控制规律则是连续和离散变量的混合,整个系统为混合随机系统。由于这类系统具有连续系统和离散系统二者的优点,因而是一种很有前途的控制系统。文中介绍了这种控制方案的基本原理,并以地空导弹自动驾驶仪作为例子进行了数字仿真。仿真结果表明,这种混合自适应方案的跟踪性能优于相类似的全离散自适应方案。当系统阻尼较小时,即在导弹飞行的高空段,这一优点显得尤为突出。

ON THE STOCHASTIC HYBRID ADAPTIVE CONTROL SCHEME FOR MISSILE CONTROL SYSTEM

In this paper we propose a new scheme of stochastic control system-minimum variance hybrid self-tuning control for tactical missile control system. In the scheme the plant with stochastic disturbance noise keeps continuous-time aspect, but estimation and regulation of the control parameters are discrete. The control law is a mixture of consecutive-and de-screte-time variates, and the whole system is a hybrid stochastic system. Since the hybrid system possesses advantages of both consecutive-time and discrete-time systems, it is an excellent type of control systems. In the paper we present the principle on this control scheme and give some simulation results for the autopilot of ground to air missile. The simulation results demonstrate that this hybrid adaptive control scheme is superior to similar discrete-time one in tracking performance. For the system with small damping the advantage is extremely obvious.