摘要
陀螺仪是惯性导航系统核心部件,其温控系统的性能直接影响着惯导系统的精度和准备时间。通常所采用的传统 PID控制算法虽然简单,但系统调节时间较长,控制效果不理想。该文针对陀螺温控系统要求调整时间短控制精度高的特点,提出一种单神经元自适应PID控制算法。该算法利用单神经元结构简单、自学习、自适应能力强的特性并与传统PID相结合,对相应的比例、积分、微分系数进行在线调整,实现对陀螺温控系统的实时在线控制。仿真结果表明该方法与传统 PID控制方法相比,具有调节时间短、超调量小等优点,说明其具有可行性。
Gyro is the key component of inertial navigation system, due to the temperature effect on gyro, the temperature control system is often used for controlling the temperature of gyro to keep the accuracy and property of the navigation system. Though the traditional PID is simple, the settling time is long and the effect is un - ideal. In order to obtain better control result, An algorithm based on single neuron adaptive PID control is presented in the paper. Single neuron has the abilities of self - study and self - adaption, these advantages can be well used in controlling the temperature control system for gyro on line. The simulation results show that this method is efficient.
出处
《计算机仿真》
CSCD
2006年第1期155-157,240,共4页
Computer Simulation
基金
国防预研基金 51409050103BQ0112
关键词
单神经元自适应
温控系统
仿真
Single neuron adaptive
Temperature control system
Simulation
