Indian Streams Research Journal

Volume : IV, Issue : III, April - 2014

TORQUE RIPPLE MINIMIZA TION IN SWITCHED RELUCT ANCE MOTORS USING PID FUZZYLOGIC CONTROLLER

K. Deepak, G. Nagarajan

By : Laxmi Book Publication

Abstract :

The main objective of this paper is to design a system which will have small speed ripple and also produces fast response of switch reluctance motor (SRM) for various speeds , magnetic flux and current by means of PID fuzzy logic controller . The speed of motor is get increased by means of reducing the torque value and also by means of ripple content. The SRM will haves a PI fuzzy logic controller and a derivative part. The developed novel PID-like fuzzy logic controller (FLC) maintains a constant electromagnetic torque. This study will increase performance of the motor and produce fast response.

Keywords :

• FLC-Fuzzy logic controller
• PI Controller
• Speed Control SRM-Switched reluctance motor.
• FLC-Fuzzy logic controller
• PI Controller
• Speed Control SRM-Switched reluctance motor.
• FLC-Fuzzy logic controller
• PI Controller
• Speed Control SRM-Switched reluctance motor.

Article :

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Cite This Article :

References :

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146. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
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150. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
151. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
152. number of rotor
153. number of rotor
154. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
155. number of rotor
156. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
157. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
158. IEEE Transactions on Industry Applications, v . 35, n. 2, p. 461-468, 1999
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181. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
182. number of rotor
183. motor,” IEEE Trans.
184. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
185. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
186. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
187. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
188. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
189. poles than stator poles: Concept to implementation,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 649–659, Feb. 2010.
190. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
191. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
192. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
193. number of rotor
194. number of rotor
195. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
196. IEEE Transactions on Industry Applications, v . 35, n. 2, p. 461-468, 1999
197. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
198. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
199. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
200. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
201. motor,” IEEE Trans.
202. number of rotor
203. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
204. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
205. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
206. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
207. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
208. motor,” IEEE Trans.
209. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
210. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
211. IEEE Transactions on Industry Applications, v . 35, n. 2, p. 461-468, 1999
212. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
213. poles than stator poles: Concept to implementation,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 649–659, Feb. 2010.
214. number of rotor
215. number of rotor
216. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
217. motor,” IEEE Trans.
218. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
219. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
220. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
221. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
222. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
223. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
224. number of rotor
225. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
226. IEEE Transactions on Industry Applications, v . 35, n. 2, p. 461-468, 1999
227. IEEE Transactions on Industry Applications, v . 35, n. 2, p. 461-468, 1999
228. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
229. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
230. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
231. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
232. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
233. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
234. number of rotor
235. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
236. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
237. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
238. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
239. LIN, Z.; REA Y , S.; WILLIAMS, W.; XIANGNING.Torque ripple reduction in switched reluctance motor drives using Bspline neural networks. IEEE Transactions of Industry Applications, v . 42, n. 6,p. 1445-53, 2006.
240. poles than stator poles: Concept to implementation,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 649–659, Feb. 2010.
241. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
242. number of rotor
243. J. Corda and S. M. Jamil, “Experimental determination of equivalent circuit parameters of a tubular switched reluctance
244. Ind. Electron., vol. 57, no. 1, pp. 311–319, Jan. 2010.
245. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
246. poles than stator poles: Concept to implementation,” IEEE Trans. Ind. Electron., vol. 57, no. 2, pp. 649–659, Feb. 2010.
247. J. G. Amoros and P . Andrada, “Sensitivity analysis of geometrical parameters on a double-sided linear switched reluctance
248. MIR, S.; MALIK, E.; HUSAIN, I. T orque ripple minimization in switched reluctance motors using adaptive fuzzy control.
249. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
250. P . C. Desai, M. Krishnamurthy, N. Schofield, and A. Emadi, “Novel switched reluctance machine configuration with higher
251. machine with solid-steel magnetic core,” IEEE Trans. Ind. Electron., vol. 57, no. 1,pp. 304–310, Jan. 2010.
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