New PI Controller Tuning Methods Using Multi-Objective Optimization

Author(s):  
Allan Vandervoort ◽  
Jules Thibault ◽  
Yash Gupta
2005 ◽  
Vol 44 (17) ◽  
pp. 6741-6750 ◽  
Author(s):  
Michael W. Foley ◽  
Navin R. Ramharack ◽  
Brian R. Copeland

2013 ◽  
Vol 411-414 ◽  
pp. 1716-1719
Author(s):  
Feng Ping Pan ◽  
Hong Kai Liao ◽  
Jia Luo ◽  
Xi Zhang

For low order process with large time delay, a kind of optimal PI controller tuning method is proposed based on generalized Hermite-Biehler theorem and Genetic Algorithm. Firstly, the stable region of PI controller is obtained by using the generalized Hermite-Biehler theorem. Then the optimum parameters are selected from this region based on ITAE criterion and genetic algorithm. A tuning formula is obtained by nonlinear fitting of optimization result, which has the capability to cover the variety of normalized time delays up to 100. Simulation of Monte-Carlo stochastic experiment indicates that the proposed method has good performance robustness when parameter uncertainty occurs, compared with other four PI tuning methods.


2016 ◽  
Vol 339 ◽  
pp. 108-131 ◽  
Author(s):  
Gilberto Reynoso-Meza ◽  
Javier Sanchis ◽  
Xavier Blasco ◽  
Miguel Martínez

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