DocumentCode :
142127
Title :
Design of MRAS-based adaptive controllers for motion systems using linear motors
Author :
Nguyen Duy Cuong
Author_Institution :
Int. Training Fac., Thai Nguyen Univ. of Technol., Thai Nguyen, Vietnam
Volume :
3
fYear :
2014
fDate :
26-28 April 2014
Firstpage :
1403
Lastpage :
1407
Abstract :
This paper introduces an adaptive controller that designed based on Model Reference Adaptive System (MRAS) algorithm for motion systems using linear motors. For a given plant model the adaptive controller is designed such that the closed-loop control system has the characteristics of the desired dynamic system. The resulting controller is known as a combination between an adaptive PID controller and an adaptive feed-forward controller. Stability of the adaptive system is guaranteed by using Lyapunov stability theory for the design. The adaptive algorithm is quite simple, robust and converges quickly. Performances of the controlled system are studied through simulation in Matlab/Simulink environment. The effectiveness of the methods is demonstrated by numerical simulations.
Keywords :
Lyapunov methods; closed loop systems; control system synthesis; feedforward; linear motors; model reference adaptive control systems; motion control; numerical analysis; stability; Lyapunov stability theory; MRAS-based adaptive controller; Matlab-Simulink environment; adaptive feedforward controller; closed-loop control system; controller design; linear motors; model reference adaptive system; motion system; numerical simulation; Adaptation models; Adaptive systems; Control systems; Force; Forging; Friction; Mathematical model; Learning Feed-forward Control (LFFC); Linear Motor; Model Reference Adaptive Systems (MRAS);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
Type :
conf
DOI :
10.1109/InfoSEEE.2014.6946150
Filename :
6946150
Link To Document :
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