Model-free Adaptive with Human-simulated Intelligent Control and its Application in Super-heated Steam Temperature System

The super-heated temperature system is a typical element with high-order inertia process in thermal power plant. Especially in case of load changing, the parameters show obvious time-varying^ uncertain and nonlinear property, which markedly reduces the quality of the traditional PID cascade control. MFAC is an advanced control strategy with exellent self-turn and robustness. However, the drawback of MFAC are low response speed and couldn´t overcome extraneous disturbance. MFA with human-simulated intelligent control(HSIC) is therefore being presented. Characteristic information of dynamic process is used to heuristic and instinct inference in HSIC, and modifying the penalty factor in MFAC continuously. MFAC is used precise control directly. Simulation results show the feasibility and effectiveness of the HIS-MFA control in super-heated temperature system.