在飞机发电机励磁系统的优化设计中,单纯的PID控制虽然能满足一般的动静态性能,但是也有响应速度慢、调整时间长,稳定精度低等缺点。为了解决上述问题,提出了采用小脑模型神经网络(CMAC)和常规PID并行控制的励磁方案。在分析飞机同步发电机数学模型和励磁系统原理的基础上,建立了飞机同步发电机及其励磁调压系统的SIMULINK仿真模型。通过对比分析仿真结果可以得出:CMAC-PID控制的励磁方案比常规PID控制的响应速度快、调整时间短、稳定精度高,并且没有超调量,体现了改进控制方案输出误差小、鲁棒性强、动静态性能优的特点。
This paper proposes an excitation scheme based on concurrency control of CMAC algorithm and conven- tional PID algorithm for aircraft generator excitation systems. On the basis of analysis of the mathematical model of aircraft synchronous generator, a simulation model of aircraft synchronous generator and excitation voltage regulation system is established via SIMULINK. The simulation results show that the proposed CMAC-PID control program has faster response, shorter adjustment time, higher stability and accuracy than the traditional PID control. In addition, it has no overshoot, small output error, strong robustness and excellent static and dynamic performance.