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2013 (Vol. 5, Issue: 04)
Article Information:

Reinforcement Learning with FCMAC for TRMS Control

Jih-Gau Juang and Yi-Chong Chiang
Corresponding Author:  Jih-Gau Juang 

Key words:  Fuzzy CMAC, PID control, reinforcement learning, twin rotor MIMO system, , ,
Vol. 5 , (04): 1383-1389
Submitted Accepted Published
July 09, 2012 July 31, 2012 February 01, 2013

This study proposes an intelligent control scheme that integrate reinforcement learning in Fuzzy CMAC (FCMAC) for a Twin Rotor Multi-input and multi-output System (TRMS). In the control design, fuzzy CMAC controller is utilized to compensate for PID control signal and the reinforcement learning refines the compensation to the control signal. CMAC with fuzzy system has better performance than the conventional CMAC in TRMS attitude tracking control. With reinforcement learning, the proposed control scheme provides even better performance and control for the TRMS.
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  Cite this Reference:
Jih-Gau Juang and Yi-Chong Chiang, 2013. Reinforcement Learning with FCMAC for TRMS Control.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1383-1389.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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