A Novel Method for Controller Parameters Optimization of Steam Generator Level Control

Abstract

Control performance is a key to steam generator level control system. To improve the system’s performance, the parameters of the control system should be optimized. Traditional parameters tuning methods are experience-based, cumbersome and time-consuming. A novel optimization method based on the Simultaneous Perturbation Stochastic Approximation (SPSA) is proposed to maximize the system’s control performance. Rather than traditional controller parameter tuning method, this method optimizes the control system by directly using measurements of control performance. An iteration termination control strategy is developed and integrated for the parameters optimization. The effectiveness of this method has been demonstrated through simulation experiments.