AbstructThis paper presents a gain scheduling based approach to the design of fuzzy controllers. We demonstrate that the Sugeno fuzzy controller is in fact a special case of gain scheduling where the feedback gains are adjusted (“scheduled”) via membership functions in fuzzy if-then rules. When the desired gains at various operating points are available, we can apply the ANFIS learning algorith...

Sufficient conditions for the existence of a gain scheduled controller for LPV systems is presented. It is shown that it is always possible to find a controller that depends on the parameters but which is independent of the rate of parameter variation. The conditions are three LMIs, which are similar to the conditions used for standard H∞ synthesis problems. In the general case, the controller ...

To save the robustness of type 2 fuzzy logic control technique and to avoid high energy consumption that represents sliding mode (SMC) technique, without failing performance system, we propose a new fault tolerant method based on gain-scheduled with interval (FTCGST2FSMC) applied hydraulic system (two tanks system) an actuator fault. The proposed scheme avoids difficult modeling, due chatter ef...

DONG, KE. Advanced Design Techniques in Linear Parameter Varying Control. (Under the direction of Associate Professor Fen Wu). To improve the analysis and control synthesis approach of linear fractional transformation (LFT) parameter-dependent systems, two types of non-quadratic Lyapunov function and switching control scheme are introduced and studied in this thesis. A gain-scheduled controller...

This paper presents a fuzzy-logic-based methodology of life extending control (LEC) for robust wide-range operation of fossil power plants including load-following, scheduled shutdown, and hot startup. The objectives of the LEC are performance enhancement and structural durability of both aging and new fossil power plants. The proposed control system has a two-tier architecture, which explores ...

This paper is concerned with the design of gain-scheduled controllers with guaranteed H1 performance for a class of Linear Parameter-Varying (LPV) plants. Here the plant state-space matrices are assumed to depend aanely on a vector of time-varying real parameters. Assuming real-time measurement of these parameters, they can be fed to the controller to optimize the performance and robustness of ...

This paper is concerned with the design of gain-scheduled controllers with guaranteed H1 performance for a class of Linear Parameter-Varying (LPV) plants. Here the plant state-space matrices are assumed to depend aanely on a vector of time-varying real parameters. Assuming real-time measurement of these parameters, they can be fed to the controller to optimize the performance and robustness of ...

In this paper, a new technique called robust loop shaping–fuzzy gain scheduled control (RLS–FGS) is proposed to design an effective nonlinear controller for a long stroke pneumatic servo system. In our technique, a nonlinear dynamic model of a long stroke pneumatic servo plant is identified by the fuzzy identification method and is used as the plant for our design. The structure of local contro...