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

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. © 2022 Journal of Propulsion Technology. All rights reserved.