The conventional methods of parameter estimation in transformers, such as the open-circuit and short-circuit tests, are not always available, especially when transformer is already operation its disconnection impossible. Therefore, alternative (non-interruptive) have become great importance. In this work, no-interruption, equivalent circuit presented using following metaheuristic optimization m...

This paper proposes the combination of two data-driven techniques, namely virtual reference feedback tuning (VRFT) and model-Free Control (MFC) in terms of the VRFT of MFC algorithms dedicated to servo systems. VRFT ensures the automatic optimal computation of the parameters of three MFC algorithms represented by intelligent proportional (iP), intelligent proportional-integral (iPI), and intell...

In robot-assisted manufacturing or assembly, following a predefined path became critical aspect. general, inverse kinematics offers the solution to control movement of manipulator while trajectory. The main problem with approach is that are computationally complex. For redundant manipulator, this complexity further increased. Instead employing kinematics, can be reduced by using heuristic algor...

Abstract—Now-a-days autonomous mobile robots have found applications in diverse fields. An autonomous robot system must be able to behave in an intelligent manner to deal with complex and changing environment. This work proposes the performance of path planning and navigation of autonomous mobile robot using Gravitational Search Algorithm (GSA), Simulated Annealing (SA) and Particle Swarm optim...

This paper presents a comparative study of fuzzy controller design for the twin rotor multi-input multioutput (MIMO) system (TRMS) considering most promising evolutionary techniques. These are gravitational search algorithm (GSA), particle swarm optimization (PSO), artificial bee colony (ABC), and differential evolution (DE). In this study, the gains of four fuzzy proportional derivative (PD) c...

A new optimization algorithm is proposed, since a huge problem that many algorithms faced was not being able to effectively balance the global and local search ability. Matter exists in three states: solid, liquid, gas, which presents different motion characteristics. Inspired by multi- states of matter, individuals have characteristics could present The Finite Element Analysis (FEA) approach c...

In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new optimization algorithm namely Gravitational Search Algorithm (GSA) based on the law of gravity and mass interactions is illustrated for designing Static Synchronous Series Compensator (SSSC) for single and multimachine power systems. ...

Hydraulic turbine governing system (HTGS) is a complicated nonlinear system that controls the frequency and power output of hydroelectric generating unit (HGU). The modeling of HTGS is an important and difficult task, because some components, like hydraulic turbine and governor actuator, are with strong nonlinearity. In this paper, a novel Takagi–Sugeno (T–S) fuzzy model identification method b...

This paper proposed an algorithm called DE-GSA. The proposed algorithm incorporates both the concepts from Differential evolution algorithm (DE) and Gravitation search algorithm (GSA), updating particles not only by DE operators but also by GSA mechanisms. The proposed algorithm is tested on several benchmark functions including unimodal and multimodal test functions, multimodal test function w...