in this paper, the unified power flow controller (upfc) is enhanced with a chaotic particle swarm optimization (cpso) damping controller in order to mitigate the low frequency oscillations (lfo) in a single machine infinite bus (smib) power system. the designed damping controller is an optimized lead-lag controller, which extracts the speed deviation of the generator rotor and generates the out...

This paper presents the AGC controllers to regulate the system frequency and to regulate the power generation of various GENCOs at scheduled levels in a deregulated power system by optimizing the parameters of controller using Evolutionary Real coded genetic algorithm (RCGA). The performance of the controller is investigated on a two-area interconnected power system consisting of Hydro-Thermal ...

This chapter deals with the analysis of the dynamic behavior of a controlled single-phase H-bridge inverter. The authors show that in addition to border collision bifurcation, when it is controlled with a time-delayed controller or with a dynamic controller that increases the system dimension, the H-bridge inverter can exhibit several other types of behaviors such as Neimark-Sacker bifurcation,...

this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...

Many safety critical reactive systems are indeed embedded control systems. Usually a control system can be partitioned into two main subsystems: a controller and a plant. Roughly speaking: the controller observes the state of the plant and sends commands (stimulus) to the plant to achieve predeened goals. We show that when the plant can be modeled as a deterministic Finite State System (FSS) it...

This paper presents the design of a neural network based feedback linearization (NNFBL) controller for a two degree-offreedom (DOF), quarter-car, servo-hydraulic vehicle suspension system. The main objective of the direct adaptive NNFBL controller is to improve the system’s ride comfort and handling quality. A feedforward, multi-layer perceptron (MLP) neural network (NN) model that is well suit...

This paper presents application of fuzzy logic controller for shunt active power filter to improve power quality in the distribution systems. The main feature of fuzzy logic controller does not require any complex mathematical model of the systems to regulate dc bus capacitor voltage. The reference compensating current has been estimated by unit vector template generation technique. The actual ...

This paper presents two methods for designing special purpose controllers for permanent magnet synchronous motor. The main target of the designed controllers is to reduce torque ripples of this type of motors. The first proposed adaptive method is based on two loop controllers (current controller and speed controller) in addition to using space vector pulse width modulation to maximize fundamen...

Electrical power production is the main target required from wind turbines. This paper describes an approach for wind turbine controller as a vital part of the turbine, where this controller is based on Artificial Neural Network technique and a control scheme has been applied and validated by detailed simulation in MATLAB 6.5/Simulink. The proposed controller enhances the reactive power affecte...

Many safety critical reactive systems are indeed embedded control systems. Usually a control system can be partitioned into two main subsystems: a controller and a plant. Roughly speaking: the controller observes the state of the plant and sends commands (stimulus) to the plant to achieve predeened goals. We show that when the plant can be modeled as a deterministic Finite State System (FSS) it...