Adaptive Active Force Control Application to Twin Rotor Mimo System

Abstract:

This paper reports a current study on modeling and simulation of adaptive Active Force Control (AFC) based scheme embedded with an artificial neural network (ANN) and/or fuzzy logic (FL) in response manipulations of the twin rotor multi-input multi-output (MIMO) system (TRMS). TRMS is well known for its non-linear behaviour and common classical control scheme such as Proportional-Integral-Derivative (PID) would not be adequate to compensate disturbances. The disturbances in this case were as the results of non-linear external and internal parametric changes, namely angular momentum and couple reactions between the two axes of TRMS. The adaptive control algorithm was proposed in both pitch and yaw to generate an optimum control gain for both responses, simulated viz. MATLAB/SIMULINK software Package. The ANN and FL were integrated into the scheme and act as optimum control algorithm in catalyzing the performance of the TRMS. The results from hybrid conditions of PID-AFC, PID-AFC-ANN and PID-AFC-FL respectively were observed and analyzed. From performance evaluation, PID-AFC-FL scheme has demonstrated a potentially robust and effective manipulating capability in trajectory tracking.

• Periodical: Applied Mechanics and Materials (Volume 393)
• Pages: 688-693
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.393.688
• Online since: September 2013
• Authors: Hanif Ramli, Wahyu Kuntjoro, M.S. Meon, K.M Asraf K. Ishak
• Keywords: Active Force Control, Fuzzy Logic, Neural Network (NN), Twin Rotor Multi-Input Multi-Output System

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