TY - JOUR T1 - FOPID Controller Design for a Buck Converter System Using a Novel Hybrid Cooperation Search Algorithm with Pattern Search for Parameter Tuning AU - Ersalı, Cihan AU - Hekimoğlu, Baran PY - 2023 DA - December DO - 10.54287/gujsa.1357216 JF - Gazi University Journal of Science Part A: Engineering and Innovation JO - GU J Sci, Part A PB - Gazi University WT - DergiPark SN - 2147-9542 SP - 417 EP - 441 VL - 10 IS - 4 LA - en AB - This research introduces a novel metaheuristic algorithm, OCSAPS, representing an upgraded cooperation search algorithm (CSA) version. OCSAPS incorporates opposition-based learning (OBL) and pattern search (PS) algorithms. The proposed algorithm's application aims to develop a fractional order proportional-integral-derivative (FOPID) controller tailored for a buck converter system. The efficacy of the proposed algorithm is assessed by statistical boxplot and convergence response analyses. Furthermore, the performance of the OCSAPS-based FOPID-controlled buck converter system is benchmarked against CSA, Harris hawk optimization (HHO), and genetic algorithm (GA). This comparative analysis encompasses transient and frequency responses, performance indices, and robustness analysis. The outcomes of this comparison highlight the distinctive advantages of the proposed approach-based system. Moreover, the proposed approach's performance was compared with six other approaches used to control buck converter systems similarly regarding both time and frequency domain responses. Overall, the findings underscore the efficacy of the OCSAPS algorithm as a robust solution for designing FOPID controllers in buck converter systems. KW - FOPID Controller KW - Buck Converter KW - Cooperation Search Algorithm KW - Pattern Search KW - Opposition-Based Learning CR - Al-Majidi, S. D., Abbod, M. F., & Al-Raweshidy H. S. (2019). 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