Journal ArticleDOI
CAS algorithm-based optimum design of PID controller in AVR system
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This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm, which can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers.Abstract:
This paper presents a novel design method for determining the optimal PID controller parameters of an automatic voltage regulator (AVR) system using the chaotic ant swarm (CAS) algorithm. In the tuning process of parameters, the CAS algorithm is iterated to give the optimal parameters of the PID controller based on the fitness theory, where the position vector of each ant in the CAS algorithm corresponds to the parameter vector of the PID controller. The proposed CAS-PID controllers can ensure better control system performance with respect to the reference input in comparison with GA-PID controllers. Numerical simulations are provided to verify the effectiveness and feasibility of PID controller based on CAS algorithm.read more
Citations
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Journal ArticleDOI
Comparative performance analysis of artificial bee colony algorithm for automatic voltage regulator (AVR) system
TL;DR: It is shown that the ABC algorithm is successfully applied to the AVR system for improving the performance of the controller and shows a better tuning capability than the other similar population based optimization algorithms for this control application.
Journal ArticleDOI
Optimum design of fractional order PIλDµ controller for AVR system using chaotic ant swarm
TL;DR: In this paper, a chaotic ant swarm (CAS) optimization method was used to optimize the tuning of FOPID controller, in which the objective function is composed of overshoot, steady-state error, raising time and settling time.
Journal ArticleDOI
PID controller for automatic voltage regulator using teaching–learning based optimization technique
TL;DR: The voltage response of the AVR system, as obtained by using the proposed TLBO based PID controller with first order low pass filter, is compared to those offered by the other algorithms reported in the recent state of theart literatures.
Journal ArticleDOI
Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system
TL;DR: An improved evolutionary non-dominated sorting genetic algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem.
Journal ArticleDOI
Improved Kidney-Inspired Algorithm Approach for Tuning of PID Controller in AVR System
Serdar Ekinci,Baran Hekimoglu +1 more
TL;DR: The main objective of the proposed approach is to optimize the transient response of the AVR system by minimizing the maximum overshoot, settling time, rise time and peak time values of the terminal voltage, and eliminating the steady state error.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Book
Power System Stability and Control
TL;DR: In this article, the authors present a model for the power system stability problem in modern power systems based on Synchronous Machine Theory and Modelling, and a model representation of the synchronous machine representation in stability studies.
Journal ArticleDOI
Optimum Settings for Automatic Controllers
J. G. Ziegler,N. B. Nichols +1 more
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.
Optimum Settings for Automatic Controllers
TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect.
Journal ArticleDOI
Model predictive control: past, present and future
Manfred Morari,Jay H. Lee +1 more
TL;DR: In this article, a theoretical basis for model predictive control (MPC) has started to emerge and many practical problems like control objective prioritization and symptom-aided diagnosis can be integrated into the MPC framework by expanding the problem formulation to include integer variables yielding a mixed-integer quadratic or linear program.