Comparative Study of Conventional, Fuzzy Logic and Neural PID Speed Controllers with Torque Ripple Minimization for an Axial Magnetic Flux Switched Reluctance Motor
Three speed controllers for an axial magnetic flux switched reluctance motor with only one stator, are described and experimentally tested. As it is known, when current pulses are imposed in their windings, high ripple torque is obtained. In order to reduce this ripple, a control strategy with modified current shapes is proposed. A workbench consisting of a machine prototype and the control system based on a microcontroller was built. These controllers were: a conventional PID, a fuzzy logic PID and a neural PID type. From experimental results, the effective reduction of the torque ripple was confirmed and the performance of the controllers was compared.
References
[1]
Krishnan, R. (2001) Switched Reluctance Motor Drives: Modeling, Simulation, Analysis, Design and Applications. CRC Press, Boca Raton. http://dx.doi.org/10.1201/9781420041644
[2]
Miller, T.J.E. (1993) Switched Reluctance Motors and Their Control. Oxford Science, Oxford.
[3]
Vijayakumar, K., Karthikeyan, R., Paramasivam, S., Arumugam, R. and Srinivas, K.N. (2008) Switched Reluctance Motor Modeling, Design, Simulation, and Analysis: A Comprehensive Review. IEEE Transactions on Magnetics, 44, 4605-4617. http://dx.doi.org/10.1109/TMAG.2008.2003334
[4]
Huang, S., Luo, J., Leonardi, F. and Lipo, T.A. (2000) A Comparison of Power Density for Axial Flux Machines Based on General Purpose Sizing Equations. IEEE Transactions on Energy Conversion, 14, 185-192.
http://dx.doi.org/10.1109/60.766982
[5]
Madhavan, R. and Fernandes, B.G. (2013) Axial Flux Segmented SRM with a Higher Number of Rotor Segments for Electric Vehicles. IEEE Transactions on Energy Conversion, 28, 203-213.
http://dx.doi.org/10.1109/TEC.2012.2235068
[6]
Madhavan, R. and Fernandes, B.G. (2012) Comparative Analysis of Axial Flux SRM Topologies for Electric Vehicle Application. IEEE International Conference on Power Electronics, Drives and Energy Systems, Bengaluru, 16-19 December 2012, 1-6.
[7]
Asghar, K. (2013) Analysis of Switched Reluctance Motor Drives for Reduced Torque Ripple Using FPGA Based Simulation Technique. American Journal of Information Sciences, 6, 1-11.
[8]
Wadnerkar, V.S., Bhaskar, M.M., Das, T.R. and RajKumar, A.D. (2010) A New Fuzzy Logic Based Modeling and Simulation of a Switched Reluctance Motor. Journal of Electrical Engineering & Technology, 5, 276-281.
http://dx.doi.org/10.5370/JEET.2010.5.2.276
[9]
Raj, E.F.I. and Kamaraj, V. (2013) Neural Network Based Control for Switched Reluctance Motor Drive. IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, 678-682.
[10]
Paula, P.P., Silva, W.M., Cardoso, J.R. and Nabeta, S.I. (2003) Assessment of the Influences of the Mutual Inductances on Switched Reluctance Machines Performance. International Electric Machine and Drives Conference, 3, 1697-1701.
Sass, F., Santisteban, J.A. and Sanches, E. (2009) Design and Implementation of a Digital Control System for an Axial Flux Switched Reluctance Motor. Brazilian Power Electronics Conference, Bonito, 27 September-1 October 2009, 138-144.