Water level control of steam generator in nuclear power plant based on intelligent MFAC-PID

As an indispensable key equipment in nuclear power plants, the water level control of steam generators directly affects the quality of exported steam, which is critical to the safe operation of nuclear power plant units. The controlled object, water level control system often has the characteristics of time lag, inertia and time-varying, and it is difficult to achieve the desired control effect using the classical control method. To solve the above problem, this paper proposes an intelligent model-free adaptive control and PID (IMFAC-PIDA) approach, in which an improved MFAC controller is designed to enhance the performance of the system, and the adaptive simplified human learning optimization (ASHLO) algorithm is used to optimize the parameter of the designed controller. Finally, the simulation experiments show that the proposed IMFAC-PIDA significantly outperforms other four control approaches.