Premium
Design of Nonlinear Servo Systems by the Fuzzy Method
Author(s) -
Nor Mohd Khairi Bin Mohamed,
Okubo Shigenori
Publication year - 2014
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.22579
Subject(s) - control theory (sociology) , servomechanism , nonlinear system , fuzzy logic , fuzzy control system , servo control , servo , servo drive , lyapunov function , computer science , control engineering , engineering , mathematics , control (management) , artificial intelligence , physics , quantum mechanics
SUMMARY This paper presents the design of nonlinear servo systems using the fuzzy method. The idea behind this control method is to divide the operating region of a nonlinear system into a collection of local linear servo control systems and apply the fuzzy method for calculation of the control input. The control input of each local linear servo system is calculated using the Davison–Smith method and the Hikita pole assignment method. We can prove that all states of the fuzzy servo system are bounded and that the output errors converge to zero by the Lyapunov method. Simulations on a nonlinear mass‐spring‐damper system illustrate the effectiveness of the proposed method.