Jiejing Chen∗
Proportional–integral–differential (PID), genetic algorithm (GA), power plant boilers, minimum flow valve, control system
Due to the high-pressure difference before and after the high- pressure minimum flow valve, it is a time-delay and time-varying system with high control accuracy requirements. The traditional fixed proportional–integral–differential (PID) controller often cannot meet the customer needs. In order to address these problems, an electromechanical valve control method that integrates genetic algorithm (GA) and PID control optimisation is proposed in the experiment. An electromechanical minimum flow valve control system model is constructed based on the optimisation. Simulation experiments showed that the control error and mean square error in the minimum flow valve control system were 0.18 KPa and 0.05 KPa2, respectively. At the same time, the loading amplitude during the working process was 10.26%. The response time of the system model was 2.6 s. The piston displacement of the minimum flow valve was 0.82 mm after the system model was optimised. The optimised buffer pressure tended to be stable at 0.79 s, and the performance of the verification indicators was better than that of comparison methods. The above results all show that the proposed method can effectively improve the operating efficiency and stability of power plant boilers, and enhance the search efficiency and convergence speed, so as to quickly find the optimal solution in the parameter space. The effectiveness of the proposed control system model is verified through simulation and experiments, proving its feasibility and superiority in practical applications. ∗ Sino-German School of Engineering, Shanghai Technical Institute of Electronics & Information, Shanghai, 201411, China; e-mail: [email protected] Corresponding author: Jiejing Chen
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