基于PI与无模型自适应控制结合的燃气轮机转速控制方法

Speed Control Method of Gas Turbine Based on Combination of PI and Model Free Adaptive Control

针对燃气轮机转速控制问题,提出一种基于PI控制与数据驱动的无模型自适应控制结合的控制器设计。以建立的燃气轮机慢车速度以上模型为研究对象,在通过遗传算法整定出最优PI控制器参数的基础上,通过对传统PI控制器的积分环节与紧格式无模型自适应控制器的相似替换,使得控制器具有在线整定内部参数的优势,表现出更优的动态控制性能。仿真结果表明:所设计的基于PI与无模型自适应控制结合的控制器,较之基于遗传算法离线整定的最优PI控制器,在转速调整时具有更快的上升时间和调节时间,且对性能退化模型也能自适应地改善控制效果。该控制器设计基于PI控制进一步提高了控制品质,其自适应过程改善了系统的鲁棒性,基于PI结构的改进也具有工业应用前景。

A controller design based on PI control and data-driven model-free adaptive control(MFAC)is proposed to deal with the problem of gas turbine speed control.The established model above the idle speed of gas turbine is taken as the research object,based on the optimal PI controller parameters tuned by genetic algorithm,the integration of the traditional PI controller is similarly replaced with the compact form dynamic linearization(CFDL)model-free adaptive controller,which makes the controller have the advantage of tuning of internal parameters online and shows better dynamic control performance.The simulation results show that the designed controller based on the combination of PI and model-free adaptive control has faster peak time and regulating time than the optimal PI controller tuned by genetic algorithm offline during speed adjustment,what’s more,the controller can also improve the control effect adaptively for a kind of performance degradation model.The quality of control is improved further with the controller design based on PI control,which has industrial application prospects,with the adaptive process improving the robustness.