DC Motor Speed Control using Fuzzy Logic based on LabVIEW

Thepsatorn, P.; Numsomran, A.; Tipsuwanporn, V.; Teanthong, T.

doi:10.1109/sice.2006.314890

Cited by 42 publications

(13 citation statements)

References 2 publications

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“…Permanent magnet DC motors are limited in terms of power capability and control capability. A linear model of a simple DC motor consists of a mechanical and electrical equation as determined in the following equations, the steady state operation of the motor is described by [9], [10]:…”

Section: Mathematical Modeling Of Blowermentioning

confidence: 99%

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

et al. 2012

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Abstrak Kata kunci: fuel cell, kecerdasan buatan, kendali jaringan syaraf, logika fuzi, sistem aerasi tersebar Abstract Aeration of water by using PEM fuel cell power is not only a new application of the renewable energy, but also, it provides an affordable method to promote biodiversity in stagnant ponds and lakes. This paper presents a new design and control of PEM fuel cell powered by diffused air aeration system for a shrimp farm in Mersa Matruh in Egypt. Also Artificial intelligence (AI) techniques control is used to control the fuel cell output power by controlling input gases flow rate. Moreover the mathematical modeling and simulation of PEM fuel cell is introduced. A comparison study is applied between the performance of fuzzy logic control (FLC) and neural network control (NNC).The results show the effectiveness of NNC over FLC.

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Section: Mathematical Modeling Of Blowermentioning

confidence: 99%

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

et al. 2012

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“…While further research conducted [7] was fuzzy logic implementation in LabVIEW, but was not implemented directly in hardware, but only on simulation for DC motors only. Meanwhile, according to Xie [5] very important to maintain the quality of the water in shrimp ponds.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Monitoring with Fuzzy Logic Control based on Graphical Programming

2016

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“…Thus there is a large tendency and effort to develop the control tool of it [8,9]. In industrial drives and dc motor control, three methods are common [10][11][12][13][14][15][16][17][18][19][20]: 1) a classic method is employment of PI and PID controllers which is not flexible for system parameters change, so it provides many limits and problems. 2) adaptive control methods that are more sophisticated than the classic method, commonly, sudden disturbance and changes in driving motor exist that because we couldn't get a complete and stable design for system.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control

Shahgholian¹,

Maghsoodi²

2016

CSJ

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Abstract. This paper presents the conventional performance of the model reference adaptive control (MRAC) and the model reference fuzzy adaptive control (MRFAC). The aims of this work are: a) increasing in correspondence of motor speed with defined reference model speed of the system, b) decreasing of noises under load changes and disturbances, and c) increasing of system stability. Thus, model reference adaptive control is applied instead of non-adaptive or conventional control. Also fuzzy controller is used in place of classic controllers like PI controller. The operation of non-adaptive control and the model reference of fuzzy and conventional adaptive control are studied for derive and adjustment of dc motor speed. Then they are compared with each other. The model reference and fuzzy controller are designed based on securing of the entire system stability. Simulation is done with constant and variable loads. The result obtained shows that the adaptive control is more favorite than non-adaptive control. Also fuzzy adaptive control is more satisfactory than conventional adaptive control. The simulations are carried out by using Matlab-Simulink. Keywords

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DC Motor Speed Control using Fuzzy Logic based on LabVIEW

Cited by 42 publications

References 2 publications

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

A New Control and Design of PEM Fuel Cell Powered Air Diffused Aeration System

Water Quality Monitoring with Fuzzy Logic Control based on Graphical Programming

Analysis and Simulation of Speed Control in DC Motor Drive By Using Fuzzy Control Based on Model Reference Adaptive Control

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