PID2018 Benchmark Challenge: Multi-Objective Stochastic Optimization Algorithm. Issue 4 (2018)

• Record Type: Journal Article
• Authors: Ates, Abdullah; Yuan, Jie; Dehghan, Sina; Zhao, Yang; Yeroglu, Celaleddin; Chen, YangQuan
• Is Part Of: IFAC-PapersOnLine. Volume 51:Issue 4(2018)
• Page Start: 877
• Page End: 881
• Publication Date: 2018
• Subjects: Optimization -- stochastic -- SMDO -- vapour compression refrigerator -- conditional integration; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2018.06.113
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: This paper presents a multi-objective stochastic optimization method for tuning of the controller parameters of Refrigeration Systems based on Vapour Compression. Stochastic Multi Parameter Divergence Optimization (SMDO) algorithm is modified for minimization of the Multi Objective function for optimization process. System control performance is improved by tuning of the PI controller parameters according to discrete time model of the refrigeration system with multi objective function by adding conditional integral structure that is preferred to reduce the steady state error of the system. Simulations are compared with existing results via many graphical and numerical solutions.