The present paper focuses on using fuzzy logic as a useful tool to manage energy resources in buildings and to reduce their energy impact. To that purpose, one requires the design and the implementation of efficient and readily adaptable control schemes. As everyone knows, fuzzy logic allows taking advantage of the flexibility offered by linguistic reasoning. With this kind of approaches, both ...

The performance optimization of induction motor speed control system is studied and self-tuning PID controller based on diagonal recurrent neural network (DRNN) is presented in this paper. Neural network control does not require the precise mathematical model of the system, and it only needs to train neural network online or offline, then use the training results to design the control system. I...

Damping of power system oscillations with the help of proposed optimal Proportional Integral Derivative Power System Stabilizer (PID-PSS) and Static Var Compensator (SVC)-based controllers are thoroughly investigated in this paper. This study presents robust tuning of PID-PSS and SVC-based controllers using Genetic Algorithms (GA) in multi machine power systems by considering detailed model of ...

Abstract: Artificial neural network (ANN) control of static compensator (STATCOM) to improve the damping of power systems is presented. The proposed control strategy is applied on a STATCOM attached to a single machine-infinite bus (SMIB) and a multi-machine power systems that include a superconducting generator (SCG). The proposed control method, ANN-STATCOM is designed based on proportional i...

Application of fractional order PID (FOPID) controller to an automatic voltage regulator (AVR) is presented and studied in this paper. An FOPID is a PID whose derivative and integral orders are fractional numbers rather than integers. Design stage of such a controller consists of determining five parameters. This paper employs particle swarm optimization (PSO) algorithm to carry out the aforeme...

This paper introduces a two-stage method based on bio-inspired algorithms for the design optimization of class general Stewart platforms. The first stage performs mono-objective in order to reach, with sufficient dexterity, regular target workspace while minimizing elements’ lengths. For this problem, we compare three algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), and Bo...

1,3 Associate Professor and Head, Department of EEE, SKD College of Engineering, Gooty, AP, India 2,4 PG Student, SKD College of Engineering, Gooty, AP, India --------------------------------------------------------------------------------***------------------------------------------------------------------------------Abstract: In this paper, a method based on the PortHamiltonian (PH) system an...