Title :
Fuzzy-LQR hybrid control of an electro hydraulic velocity servo system
Author :
Poloei, Fereshteh ; Zekri, Maryam ; Shoorehdeli, Mahdi Aliyari
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
This paper presents a new hybrid control strategy for velocity control of an electro hydraulic servo system (EHSS) in presence of flow nonlinearities and internal friction. We employed a combination of LQR controller and fuzzy-neural network in a feedback error learning framework. In the proposed control approach, LQR controller as a classical controller is designed such that the stability is guaranteed and the control purposes are satisfied. Then an intelligent controller (FNN) which is working with the classical controller (LQR) takes the control task completely. It is shown that this technique (fuzzy-LQR) has good performance and also it has a very fast and proper response. All derived results are validated by computer simulation of a nonlinear mathematical model of the system.
Keywords :
control nonlinearities; control system synthesis; electrohydraulic control equipment; feedback; flow control; friction; fuzzy control; linear quadratic control; mathematical analysis; neurocontrollers; servomechanisms; stability; velocity control; LQR controller; electro hydraulic velocity servo system; feedback error learning framework; flow nonlinearities; fuzzy-LQR hybrid control strategy; fuzzy-neural network; intelligent controller; internal friction; nonlinear mathematical model; velocity control; Fuzzy control; Fuzzy neural networks; Hybrid intelligent systems; Neurons; Servomotors; Velocity control; Electro hydraulic servo system; Feedback error learning; Fuzzy neural network; Hybrid control; LQR;
Conference_Titel :
Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
Conference_Location :
Melacca
Print_ISBN :
978-1-4577-2151-9
DOI :
10.1109/HIS.2011.6122071
