Title :
Tuning of Auto-Disturbance Rejection Controller Based on the Invasive Weed Optimization
Author :
Chen, Zhihua ; Wang, Shuo ; Deng, Zhonghua ; Zhang, Xuncai
Author_Institution :
Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
Auto-Disturbance Rejection Controller (ADRC) has been proved to be a capable replacement of PID with unmistakable advantage in performance and practicality. But it is difficult to obtain a set of optimal parameters, for ADRC controller has too many parameters and has no deterministic rules to compute the parameters. In this paper, Objective function is constructed based on the control system performance indexes. Combined with experienced parameters of ADRC, an invasive weed optimization algorithm (IWO) is employed to obtain a set of key parameters. The simulation results show the validity of the IWO algorithm.
Keywords :
control system synthesis; nonlinear control systems; optimisation; performance index; autodisturbance rejection controller; control system performance indexes; controller tuning; invasive weed optimization algorithm; nonlinear controller; objective function; Control systems; Mathematical model; Optimization; Robustness; Search problems; Simulation; Tuning; Auto-Disturbance Rejection Controller (ADRC); Invasive Weed Optimization algorithm (IWO); Parameters tuning;
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2011 Sixth International Conference on
Conference_Location :
Penang
Print_ISBN :
978-1-4577-1092-6
DOI :
10.1109/BIC-TA.2011.45
