The objective of this study is to deal with the problem of robust tuning of automatic voltage regulator (AVR) in multi-machine power system. This paper investigates the Model predictive control (MPC) strategy, analyses and compares the control effects with ProportionalIntegral-Derivative (PID) control strategy. The proposed PIDMPC method improved the stability of the power system with multiple ...

In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous generator at a specified level. The proposed control strategy is based on brain emotional ...

The application of a simple microcontroller to deal with a three variable input and a single output fuzzy logic controller, with Proportional – Integral – Derivative (PID) response control built-in has been tested for an automatic voltage regulator. The fuzzifiers are based on fixed range of the variables of output voltage. The control output is used to control the wiper motor of the auto trans...

This paper presents the application of a direct Fractional Order Model Reference Adaptive Controller (FOMRAC) to an Automatic Voltage Regulator (AVR). A direct FOMRAC is a direct Model Reference Adaptive Control (MRAC), whose controller parameters are adjusted using fractional order differential equations. Four realizations of the FOMRAC were designed in this work, each one considering differen...

A comparative study is performed to design an optimal PID controller for automatic voltage regulator system using different optimization techniques. The presented approaches are referred as particle swarm (PSO) algorithm, cuckoo search (CSO) moth flame (MFO) water cycle (WCO) teaching–learning-based (TLBO) and hill climbing (HCO) algorithm. Transient response parameters, which rise time Tr, set...