- 期刊
Adaptive Output Tracking of Transverse Flux Machines Using Neuro-Fuzzy Approach
並列摘要
This paper deals with adaptive output tracking of a transverse flux permanent magnet machine as a nonlinear system with unknown nonlinearities by utilizing Takagi-Sugeno type neuro-fuzzy networks. The technique of feedback linearization and H(subscript ∞) control are used to design an adaptive control law for compensating the unknown nonlinear parts, such the effect of cogging torque, as a disturbance on the rotor angle and angular velocity tracking performances. Finally, the capability of the proposed method is shown by the simulation results.
延伸閱讀
- Mellouli, E. M., Massou, S., & Boumhidi, I. (2013). Optimal Robust Adaptive Fuzzy H_∞ Tracking Control without Reaching Phase for Nonlinear System. Journal of Control Science and Engineering, 2013(), 127-133. https://doi.org/10.1155/2013/498461
- Hsueh, H. Y. (2012). Observer-based Fuzzy Adaptive Control Design for MIMO Nonlinear Non-affine Systems [master's thesis, Yuan Ze University]. Airiti Library. https://doi.org/10.6838/YZU.2012.00100
- Diao, L., & Guay, M. (2008). Adaptive Output Tracking of Driven Oscillators. Journal of Control Science and Engineering, 2008(), 173-186. https://doi.org/10.1155/2008/641847
- Yu, J., Gao, J., Ma, Y., & Yu, H. (2010). Adaptive Fuzzy Tracking Control for a Permanent Magnet Synchronous Motor via Backstepping Approach. Mathematical Problems in Engineering, 2010(), 1444-1456-083. https://doi.org/10.1155/2010/391846
- Pan, Y. P., Er, M. J., Huang, D. P., & Sun, T. R. (2012). Practical Adaptive Fuzzy H∞ Tracking Control of Uncertain Nonlinear Systems. International Journal of Fuzzy Systems, 14(4), 463-473. https://doi.org/10.30000/IJFS.201212.0001