Flow Control Using a Combination of Robust and NeuroFuzzy Controllers in Feedback Error Learning Framework

In this paper a novel hybrid strategy is employed in order to improve the controller performance. The main idea is combination of classical and intelligent controllers. Feedback error learning (FEL) as a two degrees of freedom (2DOF) control scheme, has been introduced based on this idea. This paper takes a step ahead of traditional FEL schemes which combine a PID controller with an intelligent inverse based controller. We introduce a robust FEL scheme and the robust controller replaces the conventional PID controller. The Robust controller is designed based on the Hinfin approach and the intelligent controller has ANFIS structure. This novel algorithm is implemented in a Flow plant to track the desired value of flow and reject unwanted disturbances in the practical system. The results are brought to prove the practical power of the novel method and are compared with other control schemes.

[1]  Hidenori Kimura,et al.  Adaptive control of nonlinear system with time delay based on the feedback error learning method , 2002, Proceedings of the 41st SICE Annual Conference. SICE 2002..

[2]  Andon V. Topalov,et al.  Fuzzy-net control of non-holonomic mobile robot using evolutionary feedback-error-learning , 1998, Robotics Auton. Syst..

[3]  Heidar Ali Talebi,et al.  Neural network based control schemes for flexible-link manipulators: simulations and experiments , 1998, Neural Networks.

[4]  Aiko Miyamura,et al.  Stability of feedback error learning scheme , 2002, Syst. Control. Lett..

[5]  Mitsuo Kawato,et al.  Learning control for a closed loop system using feedback-error-learning , 1990, 29th IEEE Conference on Decision and Control.

[6]  Fumihito Arai,et al.  Asymptotic convergence of feedback error learning method considering spillover in controlling flexible structure , 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

[7]  Hidenori Kimura,et al.  Adaptive control of nonlinear system with time delay based on the feedback error learning method , 2002, 2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02..

[8]  Hamid D. Taghirad,et al.  H∞-Based Robust Torque Control of Harmonic Drive Systems , 2001 .

[9]  Jun Nakanishi,et al.  Feedback error learning and nonlinear adaptive control , 2004, Neural Networks.

[10]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[11]  K. Watanabe,et al.  Feedback error learning control without recourse to positive realness , 2004, IEEE Transactions on Automatic Control.