基于系统辨识的滑油试验台油温智能控制

Oil Temperature Intelligent Control for Lubrication Test Bench Based on System Identification

针对航空发动机滑油试验台油温控制系统时变、时滞、非线性和难在线实时控制等问题,提出应用带遗忘因子的递推最小二乘法对系统参数在线辨识和遗传算法整定模糊PID初始参数的组合控制方案。通过matlab编程仿真,和常规方法整定的PID控制及模糊PID控制对比,结果表明,这种基于系统辨识的智能控制算法在系统的稳定性、抗干扰性及鲁棒性方面,明显优于常规控制算法。

Based on the problems of time-varying, time-lag and hard real-time control online etc. of the oil temperature control systems for aero-engine lubrication test bench, the combination controlling program is proposed which includes the recurrence least square method with forgetting factor for online identification of system parame-ters and genetic algorithm tuning fuzzy PID initial parameters. simulation with the software of Matlab, and compared with the The controlling program proposed is programmed conventional method tuning PID control and fuzzy PID control. Results show that, this intelligent control based on system identification is better than conventional control obviously in the stability, noninterference and robustness of the system.