Journal ArticleDOI
Fuzzy neural network control of a motor-quick-return servomechanism
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TLDR
In this article, a quick-return mechanism with fuzzy neural network (FNN) control is proposed, which is driven by a field-oriented control permanent magnet (PM) synchronous servomotor.About:
This article is published in Mechatronics.The article was published on 2000-02-01. It has received 19 citations till now. The article focuses on the topics: Servomechanism & Control theory.read more
Citations
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Journal ArticleDOI
Neurofuzzy control of modular and reconfigurable robots
TL;DR: A practical intelligent-control architecture that can be easily used in the presence of dynamic parameter uncertainty and unmodeled disturbances is developed and has the capability of updating the adaptive control under reconfigurability.
Journal ArticleDOI
Fuzzy control of a dc motor driven four-bar mechanism
Ömer Gündoğdu,Koksal Erenturk +1 more
TL;DR: In this article, a complete state-space mathematical model for a motor-mechanism system is first developed and numerically simulated to demonstrate the crank angular speed fluctuations for the case of a constant voltage supply.
Journal ArticleDOI
Hybrid Control of a Mechatronic System: Fuzzy Logic and Grey System Modeling Approach
TL;DR: In this article, a method of fuzzy control combined with grey system modeling approach of a mechatronic system to be used in driving a four-bar mechanism by a dc motor through a buck converter is presented.
Journal ArticleDOI
Nonlinear dynamic systems identification using recurrent interval type-2 TSK fuzzy neural network - A novel structure.
TL;DR: The antecedent and consequent parameters of the proposed RIT2TSKFNN are updated based on the Lyapunov function to achieve network stability and the obtained results indicate that the proposed network has a small root mean square error and a small integral of square error with a small number of rules and asmall computation time compared with other type-2 FNNs.
Journal ArticleDOI
A study on a novel quick return mechanism
Wen-Hsiang Hsieh,Chia-Heng Tsai +1 more
TL;DR: This work aims to propose a novel design for quick return mechanisms, and the new mechanism is composed by a generalized Oldham coupling and a slider-crank mechanism.
References
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Journal ArticleDOI
Neuro-fuzzy modeling and control
TL;DR: The essential part of neuro-fuzzy synergisms comes from a common framework called adaptive networks, which unifies both neural networks and fuzzy models, which possess certain advantages over neural networks.
Journal ArticleDOI
Neural-network-based fuzzy logic control and decision system
Chin-Teng Lin,C.S.G. Lee +1 more
TL;DR: A general neural-network (connectionist) model for fuzzy logic control and decision systems is proposed, in the form of feedforward multilayer net, which avoids the rule-matching time of the inference engine in the traditional fuzzy logic system.
Book
Vector control of AC machines
TL;DR: The space-phasor model of AC machines vector control of synchronous machines vector controller of induction machines effects of magnetic saturation monitoring of the machine parameters and the rotor speed is discussed in this paper.
Journal ArticleDOI
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
TL;DR: A fuzzy modeling method using fuzzy neural networks with the backpropagation algorithm is presented that can identify the fuzzy model of a nonlinear system automatically.
Book
Power Electronics and Ac Drives
TL;DR: An integrated treatment of technological advances in power electronics with a focus on power semiconductor devices, ac machines, phase-controlled converters and cycloconverters, voltage-fed inverter drives, current-fed inverted drives, slip powercontrolled drives, control of induction and synchronous machines, and microcomputer control.
Related Papers (5)
Adaptive and Fuzzy Neural Network Sliding Mode Controllers for Motor-Quick-Return Servomechanism
Faa-Jeng Lin,Rong-Jong Wai +1 more