Controller tuning using evolutionary multi-objective optimisation: current trends and applications

G Reynoso-Meza, X Blasco, J Sanchis… - Control Engineering …, 2014 - Elsevier
Control engineering problems are generally multi-objective problems; meaning that there
are several specifications and requirements that must be fulfilled. A traditional approach for …

New optimal controller tuning method for an AVR system using a simplified Ant Colony Optimization with a new constrained Nelder–Mead algorithm

MJ Blondin, J Sanchis, P Sicard, JM Herrero - Applied soft computing, 2018 - Elsevier
In this paper, an optimal gain tuning method for PID controllers is proposed using a novel
combination of a simplified Ant Colony Optimization algorithm and Nelder–Mead method …

Control engineering from classical to intelligent control theory—an overview

MJ Blondin, J Sanchis Sáez, PM Pardalos - … Intelligence and Optimization …, 2019 - Springer
Control engineering is the engineering discipline that refers to the use of automatic control.
This discipline has been intensively enlarging over the past decades due to technological …

Controller Tuning Approach with robustness, stability and dynamic criteria for the original AVR System

MJ Blondin, P Sicard, PM Pardalos - Mathematics and Computers in …, 2019 - Elsevier
The automatic voltage regulator (AVR) system has received much interest in the last decade.
Efforts are made to find a parameter set for proportional–integral–derivative based (PID) …

A new methodology for a retrofitted self-tuned controller with open-source fpga

EE Cruz-Miguel, JR García-Martínez… - Sensors, 2020 - mdpi.com
Servo systems are feedback control systems characterized by position, speed, and/or
acceleration outputs. Nowadays, industrial advances make the electronic stages in these …

Meta-heuristic algorithms for the control tuning of omnidirectional mobile robots

O Serrano-Pérez, MG Villarreal-Cervantes… - Engineering …, 2020 - Taylor & Francis
The growth in usage of efficient mobile robots in engineering has motivated the search for
new alternatives to improve the control tuning task. In this article, Cartesian space …

Physical programming for preference driven evolutionary multi-objective optimization

G Reynoso-Meza, J Sanchis, X Blasco… - Applied Soft …, 2014 - Elsevier
Preference articulation in multi-objective optimization could be used to improve the
pertinency of solutions in an approximated Pareto front. That is, computing the most …

Optimal Nash tuning rules for robust PID controllers

HS Sánchez, A Visioli, R Vilanova - Journal of the Franklin Institute, 2017 - Elsevier
In this paper, we propose tuning rules for one degree-of-freedom proportional-integral-
derivative controllers, by considering important aspects such as the trade-off in the …

Evolutionary multi-objective optimisation with preferences for multivariable PI controller tuning

G Reynoso-Meza, J Sanchis, X Blasco… - Expert Systems with …, 2016 - Elsevier
Multi-objective optimisation design procedures have shown to be a valuable tool for control
engineers. They enable the designer having a close embedment of the tuning process for a …

[HTML][HTML] A new method for experimental tuning of PI controllers based on the step response

R Sanchis, I Peñarrocha-Alós - ISA transactions, 2022 - Elsevier
In this paper we present a new method for tuning Proportional Integral (PI) controllers from
experimental data obtained through an open loop step test over the process to be controlled …