Abstract
Switched Reluctance (SR) drive technology is a serious contender for replacing the existing technologies, because of its technical and economic advantages. If some remaining problems like excessive torque ripple could be resolved through intelligent control, it would enjoy enormous comparative advantages for grabbing significant market share. To torque ripple minimization and also speed control of SR motors, in this paper, we apply a modified version of context based brain emotional learning (CBBEL) to Switched Reluctance Motor. Our proposed solution, which is biologically motivated, can achieve very robust and satisfactory performance. The results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. The proposed method is very flexible and can easily be enforced via defining proper emotional cues.
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Rashidi, M., Rashidi, F., Aghdaei, M.H., Monavar, H. (2004). Speed Control and Torque Ripple Minimization in Switch Reluctance Motors Using Context Based Brain Emotional Learning. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_38
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DOI: https://doi.org/10.1007/978-3-540-30134-9_38
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