Implementation of a fuzzy controller for DC-DC converters using an inexpensive 8-b microcontroller

Gupta, Tripti; Boudreaux, R.R.; Nelms, R.M.; Hung, John Y.

doi:10.1109/41.633467

Cited by 213 publications

(88 citation statements)

References 12 publications

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“…The transfer function in (10) indicates the existence of a zero in the right-half plane. This zero affects the transient performance by limiting the control bandwidth, causing a slow transient response.…”

Section: Boost Dc-dc Convertermentioning

confidence: 99%

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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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Section: Boost Dc-dc Convertermentioning

confidence: 99%

“…Since the control variables are numerous, a speed/accuracy tradeoff is inevitable. 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].…”

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 section discusses the development of FLC for the power control of IH system using PDM technique. Fuzzy logic is a nonlinear control technique, which is applied to the control of converters to improve the performance of the system as suggested in literature [18][19][20]. Expert knowledge plays a vital role in designing the FLC and it could be used in the system which has large variations of input voltage or load.…”

Section: Flc Based Power Control Of Ih Loadmentioning

confidence: 99%

Power Tracking Control of Domestic Induction Heating System using Pulse Density Modulation Scheme with the Fuzzy Logic Controller

Nagarajan¹,

Sathi²,

Vishnuram³

2014

Journal of Electrical Engineering and Technology

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-Power requirement to the induction heating system varies during the heating process. A closed loop control is required to have a smooth control over the power. In this work, a constant frequency pulse density modulation based power tracking control scheme for domestic induction heating system is developed using the Fuzzy Logic Controller. In the conventional power modulation schemes, the switching losses increase with the change in the load. The proposed pulse density modulation scheme maintains minimum switching losses for the entire load range. This scheme is implemented for the class-D series resonant inverter system. Fuzzy logic controller based power tracking control scheme is developed for domestic induction heating power supply for various power settings. The open loop and closed loop simulation studies are done using the MATLAB/Simulink simulation tool. The control logic is implemented in hardware using the PIC16F877A microcontroller. Fuzzy controller tracks the set power by changing the pulse density of the gate pulses applied to the inverter. The results obtained are used to know the effectiveness of the fuzzy logic controller to achieve the set power.

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“…Implementations of the fuzzy logic controller to buck converter and power stage DC-DC converter using micro controller have been verified in [2] and [3] respectively. Basically, in the development of the fuzzy logic controller, the fuzzy logic method utilizes linguistic variable and common rule without requiring exact model.…”

Section: Introductionmentioning

confidence: 99%

Online Learning Neural Network Control of Buck-Boost Converter

Utomo

Bakar

Ahmad

et al. 2011

2011 Eighth International Conference on Information Technology: New Generations

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Implementation of a fuzzy controller for DC-DC converters using an inexpensive 8-b microcontroller

Cited by 213 publications

References 12 publications

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

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

Power Tracking Control of Domestic Induction Heating System using Pulse Density Modulation Scheme with the Fuzzy Logic Controller

Online Learning Neural Network Control of Buck-Boost Converter

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