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检索条件"任意字段=22nd International Conference on Logic Programming"

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Application of fuzzy logic to robotic control

Application of fuzzy logic to robotic control

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： H. Vashisth Peng-Yung Woo Department of Electrical Engineering Northern Illinois University DeKalb IL USA

This paper describes how fuzzy logic can be applied to robotic control using software tools on personal computers. First, the fundamentals of fuzzy logic and robotics are discussed. Second, fuzzy controller designs for a two-link manipulator and for robot PUMA 560 (the last three links locked) are proposed. C language code is developed to simulate the controller designs. Fuzzy Inference Development Environment (FIDE) software from Aptronix, Inc. is used for development of fuzzy if-then rules. The contribution of this paper is the exploration of nonconventional methods for control of highly nonlinear systems.

关键词： Fuzzy logic Robot control Application software Software tools Microcomputers Fuzzy control Manipulators Computational modeling Nonlinear control systems Control systems

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A multiple valued cover-most algorithm based on the extended Allen-Givone algebra system

A multiple valued cover-most algorithm based on the extended...

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： Zhi-Hai Wang Dian-Cheng Zhang Guang-Sheng Ma Artificial Intelligence Application Institute Hefei University of Technology Hefei China Department of Computer Science Harbin Engineering of Technology Harbin China

ISBN: (纸本)0780327756

On the basis of discussing extended Allen-Givone implementation oriented algebra, this paper selects a suitable data structure, presents the definition of generalized OR-combined operation of multi-valued logic (MVL) and uses it for solving an EPI set rapidly. In order to speed up the process for solving a cover, the grouping subsume simplification of two-valued sharp product is extended onto position cubical arrays of MVL. By the /spl Delta/ operator, the implementation cost is further lowered after forming a cover. The algorithm is an extension of the two-valued cover-most algorithm proposed by M.C. Waters.

关键词： Algebra logic design logic functions logic devices Cost function Artificial intelligence Data structures Testing Minimization methods Heuristic algorithms

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A neuro-fuzzy power system stabiliser

A neuro-fuzzy power system stabiliser

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： N. Hosseinzadeh A. Kalam Department of Electrical and Electronic Engineering Victoria University of Technology Melbourne VIC Australia

A fuzzy logic power system stabiliser has been developed using speed and active power deviations as the controller input variables. The inference mechanism of the fuzzy logic controller is represented by a 7/spl times/7 decision table, i.e. 49 if-then rules. In order to use it under a wide range of operating conditions, its parameters have been tuned using a neural network. The tuned stabiliser has been tested by performing nonlinear simulations using a synchronous machine-infinite bus model. It is shown that the neuro-fuzzy stabiliser is superior to a fixed parameter fuzzy logic power system stabiliser.

关键词： Power systems Fuzzy logic Power system simulation Power system modeling Control systems Input variables Inference mechanisms Neural networks Testing Performance evaluation

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A new type of adaptive temperature programming controller

A new type of adaptive temperature programming controller

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： Lin Ruisen Xu Yaoliang Wang Ruhua Gao Li Lu Liang Department of Automatic Control Engineering Shanghai University Shanghai China

ISBN: (纸本)0780327756

This paper presents a practical control strategy and algorithm on the basis of the system identification, variable structure and first-order predictive control. The method is especially suitable for the objects of industrial and experimental electric furnaces. It has been successfully applied to the design of a new type of adaptive temperature programming controller. The assessment has shown that all the performance specifications have reached the advanced international level.

关键词： Programmable control Adaptive control Temperature control Furnaces Electric variables control Delay effects Hardware Automatic control Control systems Predictive control

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A scheme of intelligent control applied to a servo system

A scheme of intelligent control applied to a servo system

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： Kang Chen Yaonan Wang Qiusi Xiong Department of Electrical Engineering Hunan University Changsha China

ISBN: (纸本)0780327756

This paper presents a novel intelligent control scheme. It is a fuzzy logic controller (FLC) in combination with a neural network controller (NNC) based on a microcomputer. The combined controller is named a neural fuzzy controller (NFC). With the help of FLC inference, NNC can accelerate its self-learning process. Therefore the NFC, with the proposed scheme gains an excellent control reasoning and adaption. This has been proved effective both by simulations and a practical application in a servo system.

关键词： Intelligent control Servomechanisms Control systems Expert systems Automatic control Fuzzy logic Fuzzy control Humans Neural networks Electrical equipment industry

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Design of fuzzy logic controller in PLL-based servo motor speed drive

Design of fuzzy logic controller in PLL-based servo motor sp...

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： Mao-Fu Lai M. Nakano Guan-Chyun Hsieh V. Saehcout Wen-Yuh Chiu Department of Electrical Engineering Chinese Culture University Taipei Department of Control Engineering Tokyo Institute of Technology Tokyo Japan Dept of Electronic Engineering National Taiwan Institute of Technology Taipei

A phase-locked loop induction servomotor variable speed drive incorporating a fuzzy logic controller is presented for the precise speed control of induction motors. The proposed system combines the excellent speed regulation of the phase-locked loop techniques and the advantages of fuzzy logic controllers. A system is implemented to verify the performance of the proposed system. The experimental results show that the combination of a fuzzy logic controller and the phase-locked loop in induction servomotor variable speed drives can achieve precise speed control with fast response.

关键词： Fuzzy logic Servomechanisms Servomotors Phase locked loops Induction motors Control systems Velocity control Frequency Induction motor drives Pulse width modulation inverters

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Adaptive fuzzy sliding mode control of nonlinear system: the second control scheme

Adaptive fuzzy sliding mode control of nonlinear system: the...

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international conference on Industrial Electronics, Control and Instrumentation

作者： Sacheul Jeoung Jongkil Han Kyumann Im Woochul Ham Byungkook Yoo Department of Electronic Engineering Chonbuk National University of Korea Chonbuk South Korea Department of Medical Engineering Hanlyo SanUp University Choongnam South Korea

ISBN: (纸本)0780327756

An adaptive sliding mode control scheme in which fuzzy logic systems (approximators) are used to approximate the unknown system functions of nonlinear systems is proposed. In order to reduce the approximation errors between the true nonlinear functions and fuzzy approximators, a robust adaptive law is also proposed. The stabilities of the proposed control schemes are proved. An inverted pendulum system is considered to verify the validities of the proposed schemes in simulation.

关键词： Programmable control Adaptive control Fuzzy control Fuzzy systems Sliding mode control Nonlinear systems Fuzzy logic Approximation error Robustness Stability

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Fuzzy logic controllers using generalized operators defined on the basis of certainty function

Fuzzy logic controllers using generalized operators defined ...

引用

international conference on Industrial Electronics, Control and Instrumentation

作者： I.J. Rudas A. Szeghegyi J.F. Bito O. Kaynak Bánk Donát Polytechnic Budapest Hungary UNESCO Chair on Mechatronics Bogaziçi University Istanbul Turkey

In this paper new generalized operators, based on a fuzzy entropy approach are presented. After a general discussion on fuzzy entropy the concept of elementary certainty function of a fuzzy set is introduced. Using this mapping, the generalized intersections and unions are defined as mappings, that assign the less and the more certain membership grade to each of the elements of the domain of the operators, respectively. It is shown that these operators satisfy the axiom system of generalized operations and can be constructed from the conventional min and max operations. The second part of the paper investigates the applicability of the new operators in fuzzy logic controllers. Simulations have been carried out so as to determine the effects of the operators on the performance of the fuzzy controllers.

关键词： Fuzzy logic Entropy Fuzzy control Fuzzy sets Petroleum Industrial control Standards development Artificial intelligence

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Adaptive fuzzy sliding mode control of nonlinear system: the first control scheme

Adaptive fuzzy sliding mode control of nonlinear system: the...

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international conference on Industrial Electronics, Control and Instrumentation

作者： Byungkook Yoo Sacheul Jeoung Kyumann Im Ilyoung So Woonchul Ham Department of Medical Engineering Hanlyo SanUp University Department of Electronic Engineering Chonbuk National University of Korea Cheongju South Korea

ISBN: (纸本)0780327756

In this paper, the fuzzy approximator and sliding mode control (SMC) scheme are considered. An adaptive SMC scheme in which the fuzzy logic system (approximator) is used to approximate the unknown system function f in designing the SMC for a nonlinear system is proposed. In order to reduce the approximation errors between the true nonlinear function and fuzzy approximator, a robust adaptive law is also proposed. The stabilities of the proposed control schemes are proved. These proposed control schemes are applied to an inverted pendulum system and the comparisons between the two control schemes are shown in simulations.

关键词： Programmable control Adaptive control Fuzzy control Fuzzy systems Sliding mode control Nonlinear systems Fuzzy logic Approximation error Robustness Stability

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Autotuning for fuzzy-PI control using genetic algorithm

Autotuning for fuzzy-PI control using genetic algorithm

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international conference on Industrial Electronics, Control and Instrumentation

作者： Yuan-Pao Hsu Ching-Chih Tsai Department of Electronic Engineering Wufeng Institute of Technology and Commerce Chiayi Taiwan Department of Electrical Engineering National Chung Hsing University Taichung Taiwan

ISBN: (纸本)0780327756

The paper presents a methodology in applying genetic search techniques to automatically select a proper triangular membership function for fuzzy logic based PI controllers. The approach produces a novel type of fuzzy-PI controllers with guaranteed stability property and the desired performance specified by the more general performance criterion. The control approach is suitable for linear systems as well as a class of nonlinear unstable plant studied by Tseng et al. Numerical simulation results show that the better membership functions can be obtained and the resultant hierarchical fuzzy-PI controller outperforms the fix-valued PI controller.

关键词： Genetic algorithms Fuzzy logic Proportional control Automatic control Pi control Control systems Nonlinear control systems Servomechanisms Fuzzy control Three-term control

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