ISIE '99. Proceedings of the IEEE International Symposium on Industrial Electronics (Cat. No.99TH8465)
DOI: 10.1109/isie.1999.796767
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An approach to the reduction of contact bounce using fuzzy control

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Cited by 18 publications
(12 citation statements)
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“…One approach to the control of contactor bounce using fuzzy control provides, as output, a voltage which controls the closing rate of the contacts. This is an indirect control of the closing of the contactor since the attractive magnetic force is caused by the current in the coil [27].…”
Section: A Fuzzy Control Of the Contactormentioning
confidence: 99%
“…One approach to the control of contactor bounce using fuzzy control provides, as output, a voltage which controls the closing rate of the contacts. This is an indirect control of the closing of the contactor since the attractive magnetic force is caused by the current in the coil [27].…”
Section: A Fuzzy Control Of the Contactormentioning
confidence: 99%
“…During the making phase of the conductor, the presence of the bouncing behavior results in producing the electric arc that causes erosion damage on the conducting surface and greatly reduced the lifespan of the conductor. Some researches proposed methods on solving this problem [8][9][10][11].…”
Section: Introductionmentioning
confidence: 99%
“…In order to reduce the rebounds and control the closing speed, some researchers have investigated lately on designing new types of the contactor electromagnetic drives supplied by electronic circuits with microprocessors [1][2][3]. Unfortunately, this solution is relatively expensive; moreover, the use of this type of drive results in the considerable increase of the contactor closing time.…”
Section: Introductionmentioning
confidence: 99%
“…For the multi-objective problem given by (1), the bargaining function B(X) which helps to determine a compromise solution amongst the k-objective functions is defined as in (2). k B(X)= I[f, -f (X)]i (2) here wi is the relative degree of importance of distinct objective function f, and fw denotes the worst value of objective function f that the designer is able to accept.…”
Section: Introductionmentioning
confidence: 99%
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