RCMAC-based adaptive control design for brushless DC motors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-008-0230-2.pdf
Reference20 articles.
1. Dote Y, Kinoshita S (1990) Brushless servomotors: fundamentals and applications. Clarendon Press, Oxford
2. Liu Y, Zhu ZQ, Howe D (2005) Direct torque control of brushless DC drives with reduced torque ripple. IEEE Trans Ind Appl 41(2):599–608. doi: 10.1109/TIA.2005.844853
3. Rubaai A, Ricketts D, Kankam MD (2002) Development and implementation of an adaptive fuzzy-neural-network controller for brushless drives. IEEE Trans Ind Appl 38(2):441–447. doi: 10.1109/28.993165
4. Rubaai A, Ofoli AR, Cobbinah D (2007) DSP-based real-time implementation of a hybrid H ∞ adaptive fuzzy tracking controller for servo-motor drives. IEEE Trans Ind Appl 43(2):476–484. doi: 10.1109/TIA.2006.889904
5. Hsu CF, Lin CM, Chen TY (2005) Neural-network-identification-based adaptive control of wing rock motion. IEE Proc Contr Theor Appl 152(1):65–71. doi: 10.1049/ip-cta:20050904
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2. Design of a CMAC-based smooth adaptive neural controller with a saturation compensator;Neural Computing and Applications;2011-05-12
3. FPGA-based adaptive dynamic sliding-mode neural control for a brushless DC motor;Asian Journal of Control;2010-08-02
4. Chattering-Free Adaptive Wavelet Neural Network Control for a BLDC Motor via Dynamic Sliding-Mode Approach;Lecture Notes in Electrical Engineering;2010
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