An overview of genetic algorithms applied to control engineering problems
Q Wang, P Spronck, R Tracht - Proceedings of the 2003 …, 2003 - ieeexplore.ieee.org
Genetic algorithms (GAs) are the most widely known evolutionary search algorithms. While
they are regularly applied to control engineering problems, currently they are not a standard …
they are regularly applied to control engineering problems, currently they are not a standard …
Design of optimal disturbance rejection PID controllers using genetic algorithms
RA Krohling, JP Rey - IEEE Transactions on Evolutionary …, 2001 - ieeexplore.ieee.org
This paper presents a method to design an optimal disturbance rejection PID controller.
First, a condition for disturbance rejection of a control system-H/sub/spl infin//-norm-is …
First, a condition for disturbance rejection of a control system-H/sub/spl infin//-norm-is …
Evolutionary algorithms based design of multivariable PID controller
MW Iruthayarajan, S Baskar - Expert Systems with applications, 2009 - Elsevier
In this paper, performance comparison of evolutionary algorithms (EAs) such as real coded
genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix …
genetic algorithm (RGA), modified particle swarm optimization (MPSO), covariance matrix …
[HTML][HTML] LQR based improved discrete PID controller design via optimum selection of weighting matrices using fractional order integral performance index
The continuous and discrete time Linear Quadratic Regulator (LQR) theory has been used
in this paper for the design of optimal analog and discrete PID controllers respectively. The …
in this paper for the design of optimal analog and discrete PID controllers respectively. The …
Multi-objective robust PID controller tuning using two lbests multi-objective particle swarm optimization
In this paper, two lbests multi-objective particle swarm optimization (2LB-MOPSO) is applied
to design multi-objective robust Proportional-integral-derivative (PID) controllers for two …
to design multi-objective robust Proportional-integral-derivative (PID) controllers for two …
Robust PID control design for permanent magnet synchronous motor: A genetic approach
RM Jan, CS Tseng, RJ Liu - Electric Power Systems Research, 2008 - Elsevier
In this paper, a robust PID control scheme is proposed for the permanent magnet
synchronous motor (PMSM) using a genetic searching approach. Genetic algorithms (GAs) …
synchronous motor (PMSM) using a genetic searching approach. Genetic algorithms (GAs) …
[图书][B] Robust control systems with genetic algorithms
In recent years, new paradigms have emerged to replace-or augment-the traditional,
mathematically based approaches to optimization. The most powerful of these are genetic …
mathematically based approaches to optimization. The most powerful of these are genetic …
[PDF][PDF] A genetic algorithm for solving the optimal power flow problem
This paper presents solution of optimal power flow problem of large distribution systems via
a simple genetic algorithm. The objective is to minimize the fuel cost and keep the power …
a simple genetic algorithm. The objective is to minimize the fuel cost and keep the power …
Comparative performance analysis of various binary coded PSO algorithms in multivariable PID controller design
In this paper, comparative performance analysis of various binary coded PSO algorithms on
optimal PI and PID controller design for multiple inputs multiple outputs (MIMO) process is …
optimal PI and PID controller design for multiple inputs multiple outputs (MIMO) process is …
New tuning method for PID controller
JC Shen - ISA transactions, 2002 - Elsevier
In this paper, a tuning method for proportional-integral-derivative (PID) controller and the
performance assessment formulas for this method are proposed. This tuning method is …
performance assessment formulas for this method are proposed. This tuning method is …