SELF TUNING CONTROLLERS FOR DAMPING LOW FREQUENCY OSCILLATIONS

In this paper an adaptive fuzzy sliding mode controller is proposed to improve the performance of a pneumatic isolator in the low frequency range, i.e., where the passive

This paper focused on the evaluation and control of the performance in a refrigeration system using fuzzy adaptive techniques, controlling the exit water

various control schemes, e.g., input – output feedback [2], hybrid controller [3, 4] and adaptive and fuzzy sliding mode controllers [5] have been proposed to solve the

Lin “Direct adaptive fuzzy-neural control with state observer and supervisory controller for unknown nonlinear dynamical systems” IEEE Transactions on Fuzzy

In this paper, the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and

The effect of efficient control of UPFC on damping of the low-frequency oscillations is demonstrated by using the corrected model and the results are compared with

µ-based UPFC controller synthesis: The main goals of the UPFC controller design are: Power system oscillation damping, DC-voltage regulator and power flow

Abstract - A Composition control system is discussed in this paper in which the PID controller is tuned using Genetic Algorithm & Ziegler-Nichols Tuning Criteria.. Tuning