Gain-scheduled control of a servo pneumatic actuator using Takagi-Sugeno fuzzy models

The application of gain-scheduled control to a servo pneumatic actuator is described. The control problem is to keep the accuration of the position control independently of the current load and central position along the cylinder stroke. It is shown that gain-scheduling can effectively handle the plant nonlinearities. The control law is formulated as Takagi-Sugeno, structure that based on blended multiple local linear controllers, each designed by pole placement using local linear state space models, which axe identified in the frequency domain from a finite number of measurements of the input and output signals. Copyright (C) 2001 IFAC.