基于空压机的气风量优化控制仿真研究

Simulation Research on Optimal Control of Air Volume Based on Air Compressor

研究空压机气风量的优化控制,使压缩后的空气控制在一定气压范围之内,以满足工业设备的运行要求。由于空压机系统是一类大时滞、时变的复杂系统,负载设备用气量波动较大,并且无法建立精确的数学模型造成系统响应性能差。传统PID控制以及常规模糊控制都难以达到满意的控制要求。将变论域思想和模糊PID控制结合起来,并建立电机与储气罐的数学模型,最后对变论域模糊PID控制仿真与分析。仿真结果证明,通过论域调整改善模糊PID控制器参数调整的精度和范围,具有良好的自适应能力和鲁棒性。

Air compressor is a time-varying and large time delay system,the fluctuation of gas consumption is very heavy,and it is difficult to establish a precise mathematical model. In this paper,the variable domain fuzzy PID control combined variable domain thoughts and fuzzy PID control,built models of motor and air container,and verified its effectiveness through simulation. Simulation results show that adjusting the domain of fuzzy PID controller contributes to improve the accuracy of PID controller parameter with good adaptability and robustness.