Fuzzy supervised neurocontrol of electrohydraulic servos
Ioan Ursu, Felicia Ursu, George Tecuceanu, Radu Nicolae Cristea · PAMM · 2006
Abstract The work presents theoretical and experimental investigations concerning the neuro‐fuzzy control of electrohydraulic servos. The control algorithm is built around a neurocontroller designed to optimize a performance index. Whenever the neurocontrol saturates or a system performance parameter decreases, the control scheme switches to a feasible and reliable fuzzy logic control. In accordance with simulation studies developed in previous works of the authors, the neuro‐fuzzy controlled system proves often to be better than the corresponding classical PI or LQG systems. We emphasize that the entire control synthesis is thought as a model free approach, thus ensuring reduced design complexity and focusing on increased system robustness. (© 2006 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)