FUZZY CONTROL SCHEME FOR AN OVERHEAD CRANE SYSTEM

2010 ◽  
Author(s):  
R. ALGAZALY ◽  
F. M. ALDEBREZ ◽  
M. O. TOKHI
Keyword(s):  
Fuzzy Control ◽  
Overhead Crane ◽  
Control Scheme

scholarly journals Finite-Time Adaptive Fuzzy Control for Nonlinear Systems with Unknown Backlash-Like Hysteresis

2021 ◽  
Author(s):  
Shuzhen Diao ◽  
Wei Sun ◽  
Le Wang ◽  
Jing Wu
Keyword(s):  
Fuzzy Control ◽  
Finite Time ◽  
Fuzzy Systems ◽  
Tracking Error ◽  
Adaptive Fuzzy Control ◽  
Finite Time Stability ◽  
Adaptive Fuzzy ◽  
Intermediate Variable ◽  
Control Scheme ◽  
Theoretical Results

AbstractThis study considers the tracking control problem of the nonstrict-feedback nonlinear system with unknown backlash-like hysteresis, and a finite-time adaptive fuzzy control scheme is developed to address this problem. More precisely, the fuzzy systems are employed to approximate the unknown nonlinearities, and the design difficulties caused by the nonlower triangular structure are also overcome by using the property of fuzzy systems. Besides, the effect of unknown hysteresis input is compensated by approximating an intermediate variable. With the aid of finite-time stability theory, the proposed control algorithm could guarantee that the tracking error converges to a smaller region. Finally, a simulation example is provided to further verify the above theoretical results.

scholarly journals Design of a Decoupling Fuzzy Control Scheme for Omnidirectional Inverted Pendulum Real-World Control

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 26083-26092
Author(s):  
Chih-Hui Chiu ◽  
Yao-Ting Hung ◽  
Ya-Fu Peng
Keyword(s):  
Fuzzy Control ◽  
Real World ◽  
Inverted Pendulum ◽  
Control Scheme

A Novel Fuzzy Adaptive Speed Estimator for Space Vector Modulated DTFC of AC Drives

2011 ◽  
Vol 403-408 ◽  
pp. 4850-4858
Author(s):  
Jagadish H. Pujar ◽  
S. F. Kodad
Keyword(s):  
Fuzzy Control ◽  
Adaptive Systems ◽  
Dynamic Performance ◽  
Research Work ◽  
Speed Control ◽  
Adaptation Mechanism ◽  
Low Speed ◽  
Ac Drives ◽  
Control Scheme ◽  
Speed Estimator

In this paper a novel sensorless speed control scheme of Induction Motor (IM) by means of Direct Torque Fuzzy Control (DTFC), PI-type fuzzy speed regulator and fuzzy based Model Reference Adaptive Systems (MRAS) speed estimator strategies has been proposed, which seems to be a boom in sensorless speed control schemes of AC drives. Normally, the conventional sensorless speed control performance of IM drive deteriorates at low speed. Hence the attention has been focused to improve the performance of the IM drive at low speed range as well, by implementing fuzzy control strategies. So, this research work describes a novel adaptive fuzzy based speed estimation mechanism which replaces the conventional PI controller used in MRAS adaptation mechanism. The proposed scheme is validated through extensive numerical simulations on MATLAB. The simulated results signify that the proposed control scheme provides satisfactory high dynamic performance and robustness during low speed operations of IM drive compare to conventional sensorless speed estimator of DTFC scheme.

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