In this paper, investigation is carried out for the improvement of power system stability by utilizing auxiliary controls for controlling HVDC power flow. The current controller model and the line dynamics are considered in the stability analysis. Transient stability analysis is done on a multi-machine system, where, a fuzzy logic controller is developed to improve the stability of the power sy...

Networked control systems (NCS) have been in attention for many researchers for the past ten years. Professional solutions like PROFINET or IWLAN are followed with cheaper and popular networks like ZigBee. Multiple control methodologies have been developed for this kind of systems. In this paper we threated network disadvantages as uncertainty and we reduced them with type-2 fuzzy logic control...

In this work Artificial Intelligence (AI) techniques like Fuzzy logic, Genetic Algorithms and Particle Swarm Optimization have been used to improve the performance of the Automatic Generation Control (AGC) system. Instead of applying Genetic Algorithms and Particle swarm optimization independently for optimizing the parameters of the conventional AGC with PI controller, an intelligent tuned Fuz...

The purpose of suspension system in automobiles is to improve the ride comfort and road handling. In this research the ride and handling performance of a specific automobile with passive suspension system is compared to a proposed fuzzy logic semi active suspension system designed for that automobile. The bodysuspension-wheel system is modeled as a two degree of freedom quarter car model. MATLA...

This paper presents a development of a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the system. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The controller is designed based on the expert knowledge of the system. Fuzzy logic is used to tune each parameter of PID controller. Appropriate fuzz...

This paper presents the application of an adaptive neuro-fuzzy logic on the development of controller for 6 Degree-of-freedom parallel manipulator known as the Stewart platform. This manipulating structure has been well-known for its use as a flight simulator. In this research, the kinematics of the Stewart platform is analyzed first and then neuro-fuzzy logic based controller for controlling l...

The paper presents fuzzy logic based direct torque control (DTC) scheme of an induction motor (IM) and its comparative study using intelligent techniques under varying dynamic conditions are discussed. Direct torque control (DTC) of an induction motor fed by a voltage source inverter is a modest scheme that does not need lengthy computation time and can be implemented without pulse encoders but...