Research on Simulation of Temperature Control System for Gyro Based on Single Neuron PID

In the inertial navigation system, the performance of temperature control system for gyro directly impacts on the precision and property of the inertial navigation system. The traditional control algorithm is simple, but it takes a longer time to settle the system, and the effect is not ideal. This paper presents an algorithm based on single neuron adaptive PID control, which takes advantage of self-learning, self-adaptation ability of a single neuron, can adjust the corresponding proportion, integral, differential coefficient, and achieve the rapid real-time on-line control to the temperature control system. The simulation results show that the method is efficient, because of a short period of time and small overshoot.