caa a22 4500 445360771 CHVBK 20180317142914.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11071-010-9666-x doi (NATIONALLICENCE)springer-10.1007/s11071-010-9666-x Parameter identification of electronic throttle using ahybridoptimization algorithm [Elektronische Daten] [Xiaofang Yuan, Shutao Li, Yaonan Wang, Wei Sun, Lianghong Wu] Aiming at the problems in parameter identification of an electronic throttle, this paper proposes a novel hybrid optimization algorithm to search the optimal parameter values of the plant. The parameter identification of an electronic throttle is considered as an optimization process with an objective function minimizing the errors between the measurement and identification, and the optimal parameter values of the plant are searched by using a hybrid optimization algorithm. The proposed hybrid optimization algorithm, effective combination of parallel chaos optimization algorithm (PCOA) and simplex search method, preserves both the global optimization capability of PCOA and the accurate search ability of simplex search method. Simulation and experiment results have shown the good performance of the proposed approach. Springer Science+Business Media B.V., 2010 Parameter identification nationallicence Optimization algorithm nationallicence Electronic throttle nationallicence Chaos optimization algorithm (COA) nationallicence Simplex search method nationallicence Yuan Xiaofang College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Li Shutao College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Wang Yaonan College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Sun Wei College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Wu Lianghong College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut Nonlinear Dynamics Springer Netherlands 63/4(2011-03-01), 549-557 0924-090X 63:4<549 2011 63 11071 https://doi.org/10.1007/s11071-010-9666-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9666-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yuan Xiaofang College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Li Shutao College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Wang Yaonan College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Sun Wei College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 700 1- Wu Lianghong College of Electrical and Information Engineering, Hunan University, 410082, Changsha, People's Republic of China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 63/4(2011-03-01), 549-557 0924-090X 63:4<549 2011 63 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer