Development of a fuzzy logic controller for DC/DC converters: design, computer simulation, and experimental evaluation

So, W.C.; Tse, Chi Kong; Lee, Yim-Shu

doi:10.1109/63.484413

Cited by 200 publications

(26 citation statements)

References 6 publications

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“…Then, we can tell how "good" x and y are by their grades of membership. More precisely, we use the following definitions [8]: Definition 1: A fuzzy set A of a universe of discourse X is represented by a collection of ordered pairs of a generic element ‫ݔ‬ ∈ ܺ and its grade of membership function ߤ ‫,…”

Section: Hardware Components Of Fuzzy Controllermentioning

confidence: 99%

Linguistic Fuzzy Modelling and Simulation for Fuzzy Logic Controller for Digital to Analog Conversion

Fazili

2014

2014 International Conference on Computational Intelligence and Communication Networks

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A new approach to mixed-signal circuit interfacing based on fuzzy logic models is presented. Due to their multi valued rather than two valued logic, fuzzy logic linguistic D-A models offer a considerable improvement as compared to the classical D-A interface models. The interface presented in this paper is a data converter which processes two bit input Digital signals and outputs Analog signal .The scope for noise margin at the inputs has been considered and is examined using Gaussian Noise. The Mamdani and Zero order Sugeno inference algorithms for linguistic modeling have been utilized and their implementations are illustrated using MATLAB package. The results of the two inferences show quite similar behavior but when tested under noise Sugeno Inference system shows better results as compared to Mamdani type FIS Keywords-fuzzy logic , D-A Convertor, Mamdani, Sugeno, FISI.

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Section: Hardware Components Of Fuzzy Controllermentioning

confidence: 99%

Linguistic Fuzzy Modelling and Simulation for Fuzzy Logic Controller for Digital to Analog Conversion

Fazili

2014

2014 International Conference on Computational Intelligence and Communication Networks

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“…Fuzzy controller is a non-linear controller that does not require a precise mathematical model for its design [4]. It is obviously of great importance when the mathematical model is difficult to obtain due to the complexity and uncertainties of the system.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

“…In this paper, a controller based on fuzzy set theory [4] [10] is proposed. Superiority of FLC's over the conventional controllers can be considered as it can work with imprecise inputs, can handle nonlinearity and it is more robust than conventional nonlinear controllers [5] [6].…”

Section: Introductionmentioning

confidence: 99%

Modeling of PWM Inverters for Harmonic Reduction under Various Load Conditions using Fuzzy Controller

Bhatnagar¹,

Anwer²,

Arora³

2012

IJCA

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This paper presents the method for the usage of PWM inverters for various different and accurate applications. As it is the great requirement for processes to provide the best and accurate results in different working conditions. So for their uninterrupted working in that field, there is need to employ the device which works during the failure of power supply system. By keeping this requirement at high priority, the method for generating pure sinusoidal voltage waveform at the PWM inverter output is described in this paper. Harmonics are the basic and old problem which continue to affect the performance of the power systems in various applications depending upon the types of loads (linear & non-linear) [1].Thus, there is need to limit such kind of distortion. So, in this paper Fuzzy logic control mechanism is presented for the modifications in PWM inverter of the controllers' structure. Results of the MATLAB/Simulink simulation show that inverter output current is in sinusoidal waveform and in phase with line voltage, and current harmonics are in the limits of international standards (<5%) [2]. The results gained in this work prove the validity of the proposed controller of having an output voltage with minimum distortion. THD:Its full form is Total Harmonic Distortion and defined as the root mean square value of the harmonic components to the fundamental component.

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“…The tuning of these parameters is a tedious task and hardware implementation often requires substantial computing resources [10]. Consequently, many researchers opt for a digital signal processor (DSP) for CFLC realization [8]. However, a DSP is costly and may not be justifiable in certain applications.…”

Section: Introductionmentioning

confidence: 99%

“…Among the most [3]- [7]. It is robust, able to adapt well to non-linear variations and has excellent immunity to external disturbances [8]. The accuracy of a conventional FLC (CFLC) is determined by the number of inputs, its corresponding rule table and other fuzzy processes such as fuzzification, rule-based evaluation and defuzzification.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Single Input Fuzzy Logic Controller for Boost Converters

Salam¹,

Taeed

Ayob

2011

Journal of Power Electronics

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This paper describes the design and hardware implementation of a Single Input Fuzzy Logic Controller (SIFLC) to regulate the output voltage of a boost power converter. The proposed controller is derived from the signed distance method, which reduces a multi-input conventional Fuzzy Logic Controller (CFLC) to a single input FLC. This allows the rule table to be approximated to a one-dimensional piecewise linear control surface. A MATLAB simulation demonstrated that the performance of a boost converter is identical when subjected to the SIFLC or a CFLC. However, the SIFLC requires nearly an order of magnitude less time to execute its algorithm. Therefore the former can replace the latter with no significant degradation in performance. To validate the feasibility of the SIFLC, a 50W boost converter prototype is built. The SIFLC algorithm is implemented using an Altera FPGA. It was found that the SIFLC with asymmetrical membership functions exhibits an excellent response to load and input reference changes.

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Development of a fuzzy logic controller for DC/DC converters: design, computer simulation, and experimental evaluation

Cited by 200 publications

References 6 publications

Linguistic Fuzzy Modelling and Simulation for Fuzzy Logic Controller for Digital to Analog Conversion

Linguistic Fuzzy Modelling and Simulation for Fuzzy Logic Controller for Digital to Analog Conversion

Modeling of PWM Inverters for Harmonic Reduction under Various Load Conditions using Fuzzy Controller

Design and Implementation of a Single Input Fuzzy Logic Controller for Boost Converters

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