Title :
Nonlinear model predictive control based on lexicographic multi-objective genetic algorithm
Author :
Zheng Tao ; Wu Gang ; He De-feng
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei
Abstract :
By using a series of dynamic coefficients in fitness function, a modified genetic algorithm is proposed. It can solve the lexicographic multi-objective optimization problem stemmed from multivariable nonlinear model predictive control directly. A control problem of a two-tank control system is then given as an example. Stair-like control strategy and feedback compensation are also used to develop a better performance of the controller. Simulation results verify the efficiency of the algorithm.
Keywords :
compensation; feedback; genetic algorithms; multivariable control systems; nonlinear control systems; predictive control; feedback compensation; lexicographic multiobjective genetic algorithm; multivariable nonlinear model predictive control; stair-like control strategy; two-tank control system; Control systems; Electronic mail; Feedback; Genetic algorithms; Helium; Intelligent systems; Nonlinear dynamical systems; Predictive control; Predictive models; Process control;
Conference_Titel :
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-1355-3
Electronic_ISBN :
978-1-4244-1356-0
DOI :
10.1109/ICIAS.2007.4658348
