Title :
Automated Online Design of Robust Position and Speed Digital Controllers For Variable Speed Drives
Author :
Okaeme, Nnamdi ; Zanchetta, Pericle ; Sumner, Mark
Author_Institution :
Sch. of Electr. & Electron. Eng., Nottingham Univ.
Abstract :
This paper addresses the automatic online robust position and speed control design for variable speed drives while under varying load conditions using genetic algorithms (GA). Both the structure and parameters of the digital position and speed controllers are optimized online automatically directly on an experimental drive prototype. The automated design procedure is performed while the drive is being subject to varying mechanical load. Different mechanical load profiles are accurately emulated using a programmable load emulator. Experimental results of the online GA optimization of the speed and position controllers are presented and simulation results are shown for comparison
Keywords :
angular velocity control; control engineering computing; control system synthesis; electric machine analysis computing; genetic algorithms; machine control; position control; robust control; variable speed drives; automatic online robust position control design; genetic algorithms; programmable load emulator; speed digital controller design; variable speed drives; Algorithm design and analysis; Automatic control; DC motors; Digital control; Electric variables control; Genetic algorithms; Mechanical variables control; Robust control; Sliding mode control; Variable speed drives;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347821