基于单神经元PID的方位保持仪温控系统的仿真

Simulation of Temperature Control System for Azimuth Holding Instrument based on Single Neuron PID

由于方位保持仪的核心元件陀螺易受温度的影响,常采用温控系统控制其工作的环境温度来保证它的精度与性能。通常采用的传统P ID控制方法虽然简单,但由于系统存在非线性因素,控制效果不是很理想。提出一种基于单神经元自适应P ID的控制算法,利用单神经元的自学习,自适应能力,实现对方位保持仪温控系统的快速实时在线控制。仿真结果表明该方法优于传统的P ID控制算法,是行之有效的。

Due to the temperature effect on gyro,the temperature control systems are often used for controlling the temperature of azimuth holding instrument tokeep the accuracy and property of the gyro. In order to obtain the better controlling result, the detail algorithm based on single neuron adaptive PID control is presented in the paper. It is proved by the simulation results that this method is more efficient than conventional PID.