Power systems are usually large non-linear systems, which are often subjected to low frequency electromechanical oscillations. Power System Stabilizers (PSSs) are often used as effective and economic means for damping the generators’ electromechanical oscillations and enhance the overall stability of power systems. Power system stabilizers have been applied for several decades in utilities and ...

Abstrae1-Most fuzzy controllers (FCs) for nonlinear second order systems are designed with a two-dimensional phase plane in mind. We show that the performance and the robustness of this kind of FC stems from their property of driving the system into the sliding mode (SM), in which the controlled system is invariant to parameter fluctuations and disturbances. Additionally, the continuous distrib...

Farzan Rashidi is with the Engineering Research Institute, Tehran, Iran. Mehran Rashidi is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Hamid Monavar is with the Hormozgan Regional Electric Co., Bandar-Abbas, Iran. Abstract—This paper proposes the design of power system stabilizer based on fuzzy logic and the sliding mode controller. The control objective is to enhance the stab...

However, feedback linearization control does not guarantee robustness in the presence of modeling errors. In [3], ∞ H control and sliding mode control was proposed. ∞ H control is a computation expensive method that presents good disturbance attenuation performance. In [4], sliding mode control and PID controller was discussed. In [5], the PID controller was discussed. The PID controller is a s...

A fuzzy sliding-mode control with rule adaptation design approach with decoupling method is proposed. It provides a simple way to achieve asymptotic stability by a decoupling method for a class of uncertain nonlinear systems. The adaptive fuzzy sliding-mode control system is composed of a fuzzy controller and a compensation controller. The fuzzy controller is the main rule regulation controller...

This paper focused on the design and implementation of a sliding mode controller with fuzzy logic tuning for depth control of an autonomous underwater vehicle (AUV). A fuzzy tuning approach to sliding mode control is employed for enhancing the tracking performance as well as reducing reaching time. The sliding surface can rotate or shift in the phase space in such a direction that the tracking ...

In this paper we present a new design method for the fight control of an autonomous quadrotor helicopter based on fuzzy sliding mode control using backstepping approach. Due to the underactuated property of the quadrotor helicopter, the controller can move three positions (x,y,z) of the helicopter and the yaw angle to their desired values and stabilize the pitch and roll angles. A first-order n...

Time-varying sliding mode controller(TVSMC) with fuzzy algorithm for an unmanned automatic excavator system is proposed in this paper. Proposed control system is induced from dynamics of 3-link excavator that is boom, arm and bucket. To design the proposed control system, the main structure of controller is based on sliding mode controller(SMC) with time varying sliding surface. In case of TVSM...

Generally, the greatest difficulty encountered when designing a fuzzy sliding mode controller FSMC or an adaptive fuzzy sliding mode controller AFSMC capable of rapidly and efficiently controlling complex and nonlinear systems is how to select the most appropriate initial values for the parameter vector. In this paper, we describe a method of stability analysis for a GA-based reference adaptive...