An adaptive fuzzy control for web tension control system

This paper shows a methodology for a self-tuning of the fuzzy controller placed at each subsystem of a web tension control system, which constitutes a decentralized control system. When uncertainty of the system parameters or structure exists, fuzzy logic controller parameters are expected to be altered so that the whole system has sufficient stability and performance. We take the scaling factor of the output signals as the tunable one. The values are tuned by another fuzzy logic to establish better tracking performance, and the stability is attained by changing the values so that the oscillations are minimized. The scaling factor for the input signal is determined off-line by assuming a simplified system with the existence of a few neighboring subsystems. From the simulations, it is confirmed that our adaptive FLC shows a satisfactory performance.