Cascaded PI Controller Tuning for Power Plant Superheated Steam Temperature based on Multi-Objective Optimization. Issue 1 (July 2017)

• Record Type: Journal Article
• Authors: Fu, H.; Pan, L.; Xue, Y.L.; Sun, L.; Li, D.H.; Lee, K.Y.; Wu, Z.L.; He, T.; Zheng, S.
• Is Part Of: IFAC-PapersOnLine. Volume 50:Issue 1(2017)
• Page Start: 3227
• Page End: 3231
• Publication Date: 2017-07
• Subjects: Power plant control -- Pareto optimization -- Superheated steam temperature -- Disturbance rejection -- Robustness; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2017.08.447
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: To improve the superheated steam temperature (SST) control performance, this paper considers the conflicting objectives in SST control, multi-objective optimization (MOO) algorithm is employed in this paper. Firstly, the inner-loop PI controller is optimized by considering the objectives of set-point tracking and disturbance rejection, with and without constraints on robustness level. It is found that robustness constraint is essential in the optimization. Secondly, the regulation performance of the outer-loop PI controller is addressed by optimizing the disturbance rejection and robustness simultaneously. The parameter are determined based on the simulation comparison between the non-dominated solutions. The simulation results demonstrate a promising prospect of promoting the proposed strategy to more industrial practices.