Title :
PI controller design based on genetic algorithm and parameter space
Author :
Shan-Chang Hsieh ; Guan-Yan Chen ; Jau-Woei Perng ; Der-Min Tsai
Author_Institution :
Dept. of Mech. & Electro-Mech. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Abstract :
In this paper, the PI controller design is presented based on the genetic algorithm. In order to obtain the stability boundary of PI control systems in parameter space, the Tan´s method is adopted here. In addition, the genetic algorithm (GA) is applied to fulfill the specifications of integral absolute error (IAE). The proposed method applies on a wind power system and a boiler steam drum process control system. Computer simulations show the effectiveness of the proposed method. The result of the proposed method gets better performance of a boiler steam drum process control system.
Keywords :
PI control; boilers; control system synthesis; error analysis; genetic algorithms; stability; wind power plants; GA; IAE; PI controller design; Tan method; boiler steam drum process control system; genetic algorithm; integral absolute error; parameter space; stability boundary; wind power system; Aerospace control; Aerospace electronics; Educational institutions; Genetic algorithms; Mathematical model; Process control; Robustness; GA; PI control; process control;
Conference_Titel :
Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
Conference_Location :
Taipei
DOI :
10.1109/iFuzzy.2013.6825452