Title :
Robust speed and position control based on neural and fuzzy techniques
Author :
Pajchrowski, Tomasz ; Zawirski, Krzysztof
Author_Institution :
Poznan Univ. of the Technol., Poznan
Abstract :
The paper deals with the problem of robust speed and position control of electrical servo-drives. A robust speed controller is developed using a non-linear PI controller. The controller´s non-linear characteristic is obtained by applying computational intelligence methods such as fuzzy logic or neuro techniques. Simulations and laboratory results validate the robustness of a servo-drive with a PMSM.
Keywords :
PI control; control engineering computing; fuzzy neural nets; nonlinear control systems; position control; robust control; servomechanisms; velocity control; computational intelligence methods; electrical servo-drives; fuzzy techniques; neural techniques; nonlinear PI controller; position control; robust speed control; Artificial neural networks; Computational intelligence; Computational modeling; Control systems; Fuzzy control; Fuzzy logic; Network synthesis; Position control; Robust control; Velocity control; Fuzzy control; Neuronal control; Non-linear control; Robust control; Servo-drive;
Conference_Titel :
Power Electronics and Applications, 2007 European Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-92-75815-10-8
Electronic_ISBN :
978-92-75815-10-8
DOI :
10.1109/EPE.2007.4417557
