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39 篇 会议

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Study of Two Control Strategies Based in Fuzzy Logic and Artificial Neural Network Compared with an Optimal Control Strategy Applied to a Buck Converter

Study of Two Control Strategies Based in Fuzzy Logic and Art...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： N. L. Diaz J. J. Soriano Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital Francisco José de Caldas Bogota Colombia

The dc-dc converters are highly efficient tools used to supply power to different systems, they have a nonlinear behavior and variations at their main parameters could affect their stability. This document studies and compares different control strategies, linear and non linear controllers applied to a Buck converter. There are mainly three control strategies treated in this paper. First an optimal control based design, by employing The quadratic performance index (QPI) is used, second a knowledge based fuzzy control is studied and third an artificial neural network (ANN) as a dynamic emulator of the fuzzy control is proposed. Some comparisons about the systems composed by the plant and a controller, in variation of a few plant parameters were made; in addition the computational time in simulation is compared between the two intelligent controllers.

关键词： Optimal control Fuzzy logic Artificial neural networks Buck converters Fuzzy control DC-DC power converters Power supplies Stability Performance analysis computational modeling

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Hardware based fuzzy logic controllers using frequency domain singleton fuzzification

Hardware based fuzzy logic controllers using frequency domai...

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IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2005

作者： Lopez, Samuel A. Melgarejo, Miguel A. Department of Electronics Engineering Universidad Nacional de Colombia Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital FJC

In this paper, an alternative approach for implementing singleton fuzzification in fuzzy controllers is presented. Fuzzification is translated to the frequency domain by means of a frequency-modulated-sinusoid signal, whose spectral representation is a delta Dirac function (singleton fuzzifier). This sinusoid is applied to a non recursive filter which is considered as a membership function generator. This approach facilitates the on line reconfiguration of membership functions in hardware based fuzzy controllers. Two control problems are presented where frequency domain singleton fuzzification has been used. © 2005 IEEE.

关键词： Fuzzy sets

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Fuzzy Controller for MIMO Systems using Defuzzification based on Boolean Relations (DBR)

Fuzzy Controller for MIMO Systems using Defuzzification base...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： J. Soriano A. Olarte M. Melgarejo Laboratory of Automation Microelectronics and Computational Intelligence Universidad Distrital FJDC Bogota Colombia

This paper presents a methodology to control multiple input-multiple output systems using fuzzy logic and Boolean relations. The method proposes to design a fuzzy controller whose inference and defuzzification stages are simplified thanks to the synthesis of multivaluated functions. Using this approach, a nonlinear MIMO system is controlled in simulation. The synthesized controller is compared with a linearized state feedback and Mamdani controllers intended to the same application. Both control and computational complexity indices are considered in the comparison

关键词： Fuzzy control Fuzzy systems Control systems MIMO Distributed Bragg reflectors Control system synthesis Linear feedback control systems Fuzzy logic Design methodology Nonlinear control systems

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Hardware realization of fuzzy adaptive filters for non linear channel equalization

Hardware realization of fuzzy adaptive filters for non linea...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： F. Olarte P. Ladino M. Melgarejo Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital Francisco José de Caldas Bogota Colombia

The article presents the architectural proposal and hardware implementation of two fuzzy adaptive filters, which are intended to perform real time non linear channel equalization. The proposed architecture considers on-line adaptation of Gaussian membership functions. The key point of the architecture is a circuit that generates Gaussian membership functions. Taking into account the proposed architecture, two first order fuzzy adaptive filters are implemented over field programmable gate array technology. These implementations are compared with their software counterparts in terms of processing speed and bit error rate performance.

关键词： Hardware Adaptive filters Adaptive equalizers Computer architecture Proposals Circuits Adaptive arrays Field programmable gate arrays Software performance Bit error rate

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Hardware Based Fuzzy Logic Controllers Using Frequency Domain Singleton Fuzzification

Hardware Based Fuzzy Logic Controllers Using Frequency Domai...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： S.A. Lopez M.A. Melgarejo Department of Electronics Engineering Universidad Nacional de Colombia Colombia Laboratory of Automation Microelectronics and Computational Intelligence Universidad Distrital FJDC Colombia

In this paper, an alternative approach for implementing singleton fuzzification in fuzzy controllers is presented. Fuzzification is translated to the frequency domain by means of a frequency-modulated-sinusoid signal, whose spectral representation is a delta Dirac function (singleton fuzzifier). TMs sinusoid is applied to a non recursive filter which is considered as a membership function generator. This approach facilitates the on line reconfiguration of membership functions in hardware based fuzzy controllers. Two control problems are presented where frequency domain singleton fuzzification has been used

关键词： Hardware Fuzzy logic Frequency domain analysis Finite impulse response filter Input variables Nonlinear filters Shape control Signal processing Laboratories automation

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A Type-2 Fuzzy Controller for Tracking Mobile Objects in the Context of Robotic Soccer Games

A Type-2 Fuzzy Controller for Tracking Mobile Objects in the...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： J. Figueroa J. Posada J. Soriano M. Melgarejo S. Rojas Laboratory of Automation Microelectronics and Computational Intelligence Universidad Distrital Francisco José de Caldas Bogota Colombia Department of Computer Science University College London London UK

This paper presents a type-2 fuzzy logic controller for a robotic agent intended to track a mobile object in the context of robot soccer games. The controller has two inputs and two outputs that are logically connected by four rules. Image processing is used to estimate the angle between the agent and the target, which introduces uncertainty in the control loop. Other sources of uncertainty related to defects in the control loop have been identified. In this sense, the paper explores how the type-2 controller overcomes those sources without incrementing the computational cost of the application

关键词： Fuzzy control Mobile robots Uncertainty Fuzzy logic computational efficiency Fuzzy sets Robotics and automation Image processing Control systems Automatic control

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Frequency domain singleton fuzzification in the design of fuzzy logic controllers

Frequency domain singleton fuzzification in the design of fu...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： S.A. Lopez M. Villabona U.A. Betancourt M.A. Melgarejo Department of Electronics Universidad Distrital FJDC Colombia Department of Electronics Engineering Universidad Distrital FJC Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital FJDC Colombia Laboratory for Automation Microelectronics and Computational Intelligence Universidad Distrital FJC

In this paper, an alternative approach for implementing singleton fuzzification in fuzzy controllers is presented. Fuzzification is translated to the frequency domain by means of a frequency-modulated-sinusoid signal, whose spectral representation is a Dirac's delta function (singleton fuzzifier). This sinusoid is applied to a non recursive filter which is considered as a membership function generator. This approach facilitates the on line reconfiguration of membership functions in hardware based fuzzy controllers. Two control problems are presented where frequency domain singleton fuzzification has been used.

关键词： Frequency domain analysis Fuzzy logic Finite impulse response filter Fuzzy control Signal generators Hardware Polynomials Signal design Laboratories Design automation

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Distributed arithmetic in the design of high speed hardware fuzzy inference systems

Distributed arithmetic in the design of high speed hardware ...

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： A. Gaona D. Olea M. Melgarejo Bogotá Colombia Laboratory for Automation Microelectronics and Computational Intelligence-LAMCI Universidad Distrital Francisco José de Caldas Colombia

This paper presents an approach for implementing center average defuzzifier by means of distributed arithmetic. This approach was applied in the design of two digital fuzzy processors, their architectures are described and compared in terms of system level organization. An automatic hardware code generation tool was used for specifying these fuzzy processors. Furthermore, they were implemented over a VirtexE/spl reg/ FPGA. Implementation results show that it is possible to obtain a processing speed up to 45 MFLIPS and reduced area cost for distributed arithmetic based parallel organized fuzzy inference systems.

关键词： Arithmetic Hardware Fuzzy systems Field programmable gate arrays Fuzzy sets Computer architecture Engines Laboratories automation microelectronics

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Sequential fuzzy inference system based on distributed arithmetic

Sequential fuzzy inference system based on distributed arith...

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IEEE International Conference on computational intelligence for Measurement Systems and Applications (CIMSA)

作者： A. Gaona D. Olea M. Melgarejo Departamento de Ingeniería Electrónica Laboratory for Automation Microelectronics and Computational Intelligence-LAMCI Universidad Distrital Francisco José de Caldas Bogotá Colombia Colombia

The design and realization of a leading-to-FPGA implementation Mandani's fuzzy inference system with two inputs, 16 rules and single output is introduced here. System architecture, that is sequential in nature, was specified through a software tool which automatically generates the architecture code according to user settings. A novel type defuzzyfication stage was implemented in order to use a parallel distributed arithmetic scheme.

关键词： Fuzzy systems Arithmetic Computer architecture Software tools Hardware Application software Field programmable gate arrays Programmable logic arrays Fuzzy sets Table lookup

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