CMAC-PID在柴油机调速系统中的应用

Application of Compound Control Based on CMAC and PID in Diesel Speed

研究柴油机优化控制问题,柴油机调速控制要求快速、准确。针对柴油机调速系统的非线性、时变等特点,导致稳定时间长,传统PID控制不理想。为了提高自动调节供油量,达到控制准确度,提出一种小脑模型神经网络(CMAC)与PID并行控制的柴油机调速系统(CMAC-PID)。采用现代控制理论与经典相结合的方法对柴油机调速系统进行优化设计,利用传统PID来实现柴油机调速属于反馈控制,保证了系统的稳定性,并且能够抑制扰动,结合CMAC神经网络对控制器进行前馈控制,确保系统的控制响应速度,减小超调量,提高控制精度。仿真结果表明,采用CMAC-PID算法控制精度更高,超调小,稳定时间短,鲁棒性强,能优化柴油机调速系统性能,为设计提供了参考。

Aiming at the levity trait of time-varying and non-linearity of diesel engine,a new combined control method combining PID control with CMAC is given and also put into use in the Diesel Speed.Using the traditional PID feedback control ensures the realization of the system stability and disturbance rejection.Using neural network controller realizes CMAC feed-forward control,ensures the response speed control system,reduces overshoots,and strengthens control accuracy.Compared with PID control and CMAC and PID combined control,the simulation showed that the improved control method is better,and more adapted to the non-linearity environment such as the Diesel system.