Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm

Abstract : In many practical engineering applications, a feed-forward control is often used to control the system with some parameterized signals, for example, a wet clutch system. Usually these signals are designed empirically. In this paper, firstly, genetic algorithm (GA) will be used to optimize parameters. Then by knowing the system response of the test bench in the frequency domain, GA will be used again to fine tuning this parameterized signal. The result is then compared to those performances of using signal without fine tuning step. It is shown that after applying the fine tuning method, the resulted signal can achieve a better performance.
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Communication dans un congrès
Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.58-67, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_7〉
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Yu Zhong, Abhishek Dutta, Bart Wyns, Clara-Mihaela Ionescu, Gregory Pinte, et al.. Fine Tuning of a Wet Clutch Engagement by Means of a Genetic Algorithm. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-381 (Part I), pp.58-67, 2012, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-33409-2_7〉. 〈hal-01521416〉

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