Parameter Optimization Method of Steam Generator Level Controller based on SVM and Improved PSO

• Published in: 2022 China Automation Congress (CAC) pp. 3209 - 3214
• Main Authors: Xu, Haiqin, Li, Linkun, Shi, Changqing, Li, Xiaoyu, Geng, Pengcheng, Kong, Xiangsong
• Format: Conference Proceeding
• Language: English
• Published: IEEE 25.11.2022
• Subjects: Costs; Data models; iterative model; Optimization methods; parameter tuning; particle swarm optimization; Simulation; Sociology; Stochastic processes; support vector machine; Support vector machines; water level

The steam generator's (SG) water level response process is strongly nonlinear, and the cost of controller parameter tuning is high. To address the above challenge, a hybrid strategy based on traditional Model-based optimization (MBO) and Model-Free Optimization was proposed. An iterative model...