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Saturday, May 16, 2020 | History

2 edition of Two-phase fuzzy control. found in the catalog.

Two-phase fuzzy control.

Kam-Wing Li

Two-phase fuzzy control.

by Kam-Wing Li

  • 361 Want to read
  • 29 Currently reading

Published .
Written in English


The Physical Object
Pagination142 leaves.
Number of Pages142
ID Numbers
Open LibraryOL15394799M
ISBN 100612116379

Commutation between the two phase windings in the dc fan takes place electronically by alternately applying power to L1 and L2. Dead zones between the power pulses limit current for speed control and helps minimize a cogging effect when the rotor magnets align with the stator coils. The on-and-off power of the commutation periodFile Size: KB. Fuzzy, neural and evolutionary computing are the three major themes of soft computing. The book presents original research papers dealing with the theory of soft computing and its applicatioos in engineering design and manufacturing. The methodologies have been applied to a .

  Conventional direct torque control (DTC) is one of the excellent control strategies available to control the torque of the induction machine (IM). However, the low switching frequency of the DTC causes high ripples in the flux and torque that leads to an acoustic noise which degrades the control performances, especially at low speeds. Many direct torque control techniques were appeared to Cited by: 4. The following outline is provided as an overview of and topical guide to electrical engineering.. Electrical engineering – field of engineering that generally deals with the study and application of electricity, electronics and field first became an identifiable occupation in the late nineteenth century after commercialization of the electric telegraph and electrical.

Multi-objective aggregate production planning decisions using two-phase fuzzy goal programming method Journal of Industrial and Management Optimization, Vol. 7, No. 2 Herbert A. SimonCited by:   This volume presents an interesting mix of topics on complex systems such as information systems, engineering systems, fuzzy neural systems, image processing, robotics, fuzzy control, genetic algorithms, and fuzzy decision making. The contributions come from 12 countries, and provide a clear picture of fuzzy logic applications worldwide. Contents.


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Two-phase fuzzy control by Kam-Wing Li Download PDF EPUB FB2

A general neural-network-based connectionist model, called Fuzzy Neural Network (FNN), is proposed in this book for the realization of a fuzzy logic control and decision system. The FNN is a feedforward multi-layered network which integrates the basic elements and functions of a traditional fuzzy logic controller into a connectionist structure.

Thus, traffic signal control is a suitable task for fuzzy control. Indeed, one of the oldest examples of the potential of fuzzy control is a simulation of traffic signal control at an intersection of two one-way streets. Even in this very simple case, the fuzzy control was at least Cited by: 1.

In this study a fuzzy neural network (FNN) control system with adaptive algorithm is proposed to control permanent magnet synchronous motor (PMSM) drive system. Abstract. In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary programming (EP) and the principle of maximum entropy (PME) based on the previous research [].Author: Chi-Ho Lee, Ming Yuchi, Hyun Myung, Jong-Hwan Kim.

two-phase hybrid stepping motor is widely used for driving part in industry controlling, the research for control algorithm applied in stepping motor becomes more and more important. The mathematic Two-phase fuzzy control. book of the two-phase hybrid stepping motor and the structure of Fuzzy-PID controller are detailed, and the simulation model of Fuzzy-PID controller in MATLAB/simulink is also by: 8.

Control ot two-phase induction motor by changing the phase difference angle. Book, Purdue University, international edition Fuzzy control has been applied to various industrial.

Two-phase approach is thus a combination of the min operator model and the "arithmetical average" operator model. We shall show that the optimal solution yielded by the two-phase approach is fuzzy-efficient [2, 3]. Theorem The optimal decision plan x** yielded by two-phase method & by: Vector-control techniques have been well developed for PWM converters.

Various reference frames may be used for vector-control applications. Figure shows three sets of reference frames: a-b-c three-phase stationary reference frame, α-β two-axis stationary reference frame, and d-q two-axis rotational reference frame rotating at speed ω.

This book is the proceedings of the Third International Conference on Fuzzy Information and Engineering (ICFIE ) held in the famous mountain city Chongqing in Southwestern China, from SeptemberOnly high-quality papers are included.

The ICFIEbuilt on the success of previous. In this paper, a new method for the solution of distribution problem in a fuzzy setting is presented. It consists of two phases. In the first of them, the problem is formulated as the classical, fully fuzzy transportation problem.

A new, straightforward numerical method for solving this problem is proposed. This method is implemented using the α -cut approximation of fuzzy values and the Author: Krzysztof Kaczmarek, Ludmila Dymova, Pavel V.

Sevastjanov. The single-phase induction machine has the advantage of being powered by a single-phase voltage source. The availability of this power allows it to be widely used: electric household appliances, portable machine tools&#x; However, this type of machine has not yet taken its whole share from various works present until now, in comparison with the three-phase asynchronous machine.

[pic] A HIGH PERFORMANCE INDUCTION MOTOR DRIVE SYSTEM USING FUZZY LOGIC CONTROLLER [pic] VIGNAN’S ENGINEERING COLLEGE VADLAMUDI A HIGH PERFORMANCE INDUCTION MOTOR DRIVE SYSTEM USING FUZZY LOGIC CONTROLLER ABSTRACT Abstract- Basically, the motor drive system comprises a voltage source inverter-fed induction motor (VSIM):.

The control proposed in this paper is based on a hybrid approach; combines the performances of the controls which are based on the tools of the artificial intelligence (neural networks and fuzzy logic) applied to control the two-phase induction motor supplied by voltage source inverter.

The application of this approach to the two-phase induction machine is a contribution to the study of this. RuIe (3), called the two phase rule, is the source of the name two phase locking. Each transaction may be divided into two phases: a growing phase during which it obtains locks, and a shrinking phase during which it releases locks.

The intuition behind rule (3) is not obvious. Roughly, its function is to. "Essentials of Fuzzy Modeling and Control", by Ronald R. Yager and Dimitar P. Filev, New York, NY: John Wiley, ; pages Excellent and comprehensive guide to Fuzzy Modeling and Control. This book successfully bridges theory with practice by including many concrete examples.

It provides detailed examples of Fuzzy Logic Control (FLC) : Financial Engineer. Simani S and Bonfè M () Fuzzy modelling and control of the air system of a diesel engine, Advances in Fuzzy Systems,(), Online publication date: 1-Jan Miller D, Nelson C, Cannon M and Cannon K () Comparison of fuzzy clustering methods and their applications to geophysics data, Applied Computational Intelligence and.

The multidimensional number partitioning problem is to split a given set of integer vectors into two disjoint subsets, such that the sums of the elements in the two subsets are equal or nearly equal on every coordinate.

This partitioning problem is in fact NP-hard. In this paper, we propose an optimization method for this problem. The proposed method involves recasting the original problem as Author: Feng Ma, Mingfang Ni. The FUSICO (Fuzzy Signal Control)-research project was started in at the Helsinki University of Technology.

The main goals of the project are theoretical analysis of fuzzy traffic signal control, generalized fuzzy rules using linguistic variables, validation of fuzzy control principles, calibration of membership functions, and development of a fuzzy adaptive signal by: In practical aggregate production planning (APP) decisions, the decision maker (DM) must simultaneously handle multiple conflicting goals that govern the use of the constrained resources.

This study aims to present a two-phase fuzzy goal programming method to solve multi-objective APP problems with multiple products and multi-time by: In this study, a recourse-based type-2 fuzzy programming (RTFP) method is developed for supporting water pollution control of basin systems under uncertainty.

The RTFP method incorporates type-2 fuzzy programming (TFP) within a two-stage stochastic programming with recourse (TSP) framework to handle uncertainties expressed as type-2 fuzzy sets (i.e., a fuzzy set in which the membership Cited by: 3. The book also offers a tutorial on fuzzy control theory, based mainly on the well-known classical Proportional-Integral-Derivative (PID) controllers theory and design methods.

In particular, the text discusses fuzzy PID controllers in detail, including a description of the new notion of generalized verb-based fuzzy-logic control theory.From the Publisher: This book consists of papers written by the founder of fuzzy set theory, Lotfi A.

Zadeh. Since Zadeh is not only the founder of this field but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context.A Parameter Auto-Tuning Method of Fuzzy-PID Controller.- Fuzzy Optimization Design of Gas Pipeline.- Fuzzy Direct Torque Control of Six Phase Induction Machine Based on Torque Prediction.- Study on the Optimal Charging with Neural Networks Prediction and Variable Structure Fuzzy Control.- Brushless DC Motor Speed Fuzzy Adaptive Control System