气动油压伺服系统模糊自适应整定的PID控制研究

Study on Intelligent PID Control of Fuel Oil Pressure Pneumatic Servo System

针对经典的基于对象精确模型的PID控制方法自适应性差,难以适应具有非线性、时变不确定性的被控对象,采用了一种结构简单的模糊自适应整定的PID控制方法。将该智能PID控制应用于气动油压伺服系统中。实验结果表明:具有自学习和自适应能力的模糊PID控制方法,能够适应被控对象在较大范围内的变化,具有较强的鲁棒性,其控制品质明显优于常规PID控制方法,将其应用于气动油压伺服系统是可行的。

Because classic PID control method based on precise mathematical model had poor adaptability and was not adaptive to nonlinear and time-variant plants,the fuzzy-PID controlling algorithm which had a simple structure was provided.When it was applied to the fuel oil pressure pneumatic servo system,the result shows that the fuzzy-PID controlling method has selfstudy and self-adaptability,it is adaptive to great change of controlled plant,has excellent robustness,and is better than conventional PID control in controlling performance.The PID control is effective when applied to the fuel oil pressure pneumatic servo system.