Title :
Design of cascaded controllers for DC drives using evolutionary algorithms
Author :
Cupertino, Francesco ; Naso, David ; Salvatore, Luigi ; Turchiano, Biagio
Author_Institution :
Dipt. di Elettrotecnica ed Elettronica, Politecnico di Bari, Italy
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper, we describe a new design procedure for cascaded controller for electrical drives based on evolutionary algorithms. Most electric drives have two separate controllers for current and speed control, which are in general designed in two consecutive steps (firstly the current controller and then the speed one). Using a hybrid evolutionary algorithm designed to test and compare controllers of different orders, we search simultaneously for the couple of discrete anti-windup controllers achieving the optimal compromise of cost and performance indices related to both current and speed responses. Simulation comparison with conventional design techniques on a non-linear DC drive with variable load are presented to show the effectiveness of the approach
Keywords :
cascade control; control system synthesis; electric drives; evolutionary computation; optimisation; cascaded controller; electrical drives; evolutionary algorithm; genetic algorithms; hybrid evolutionary algorithm; stochastic search techniques; Algorithm design and analysis; Control systems; Cost function; Electric variables control; Evolutionary computation; Genetics; Observers; Optimal control; Robust control; Testing;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1004423