Abstract
This paper proposes a new method of adaptive inverse control based on Support Vector Machine-Fuzzy Rules Acquisition System (SVM-FRAS) for twin-lift spreaders. In this control mechanism, an identifier is established based on SVM-FRAS, and an inverse controller based on SVM-FRAS is designed. The proposed adaptive inverse control method can automatically extract control rules from the process data. Comprehensibility is one of the required characteristics for a complex twin-lift spreader. We use the proposed SVM-FRAS-based adaptive inverse control method to obtain the rule-based process and the control model of the twin-lift spreader. Based on the simulation experiments for twin-lift spreaders, the SVM-FRAS adaptive inverse control method is found to be effective.
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Acknowledgments
This work is supported by Shanghai Leading Academic Discipline Project (S30602), National High-tech R&D Program of China (863 Program) by Ministry of Science & Technology of China (No. 2009AA043000) and National Natural Science Foundation of China (No. 60805018).
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© 2012 Springer-Verlag London Limited
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Huang, X., Shi, F., Zhang, H. (2012). Adaptive Inverse Control Method Based on SVM-Fuzzy Rules Acquisition System for Twin-Lift Spreader System. In: Wang, X., Wang, F., Zhong, S. (eds) Electrical, Information Engineering and Mechatronics 2011. Lecture Notes in Electrical Engineering, vol 138. Springer, London. https://doi.org/10.1007/978-1-4471-2467-2_8
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DOI: https://doi.org/10.1007/978-1-4471-2467-2_8
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