Journal ArticleDOI
A particle swarm optimization approach for optimum design of PID controller in AVR system
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TLDR
The proposed PSO method was indeed more efficient and robust in improving the step response of an AVR system and had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency.Abstract:
In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of an AVR system using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters of an AVR system. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. Fast tuning of optimum PID controller parameters yields high-quality solution. In order to assist estimating the performance of the proposed PSO-PID controller, a new time-domain performance criterion function was also defined. Compared with the genetic algorithm (GA), the proposed method was indeed more efficient and robust in improving the step response of an AVR system.read more
Citations
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Journal ArticleDOI
Design of robust proportional–integral–derivative controller for generalized decoupled twin rotor multi-input-multi-output system with actuator non-linearity
TL;DR: Two proportional–integral–derivative controllers are employed to control the main and tail rotors independently and are found to perform efficiently ensuring adequate robust stability even in the presence of uncertainty, disturbance and actuator non-linearity.
Journal ArticleDOI
Rotor current control for a doubly-fed induction generator using a novel nonlinear robust control approach based on extended state observer–backstepping
Guowei Cai,Cheng Liu,Deyou Yang +2 more
TL;DR: In this paper, an extended state observer (ESO) with backstepping theory is used to dynamically estimate and eliminate the model error and the uncertain external disturbance of the rotor current of doubly-fed induction generators.
Journal ArticleDOI
Recurrent wavelet neural network controller with improved particle swarm optimisation for induction generator system
TL;DR: In this article, a recurrent wavelet neural network (RWNN) controller with improved particle swarm optimisation (IPSO) is proposed to control a three-phase induction generator (IG) system for stand-alone power application.
Proceedings ArticleDOI
PSO-based self-tuning PI control for STATCOM
Hongjun Chen,Jing Li,Xin Zhou +2 more
TL;DR: In this paper, a self-tuning PI controller using particle swarm optimization (PSO) algorithm is designed to control a static synchronous compensator (STATCOM) in order to regulate the point of common coupling (PCC) voltage of power electronics system under different disturbance conditions.
Journal ArticleDOI
Learning-Based Predictive Building Energy Model Using Weather Forecasts for Optimal Control of Domestic Energy Systems
TL;DR: In this paper, the authors proposed a resistance-capacitance (RC) building model where the parameters of the models are determined by learning and particle swarm optimization is used as a learning scheme to search for the optimal parameters.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Proceedings ArticleDOI
A modified particle swarm optimizer
Yuhui Shi,Russell C. Eberhart +1 more
TL;DR: A new parameter, called inertia weight, is introduced into the original particle swarm optimizer, which resembles a school of flying birds since it adjusts its flying according to its own flying experience and its companions' flying experience.
Proceedings ArticleDOI
Empirical study of particle swarm optimization
Yuhui Shi,Russell C. Eberhart +1 more
TL;DR: The experimental results show that the PSO is a promising optimization method and a new approach is suggested to improve PSO's performance near the optima, such as using an adaptive inertia weight.
Book
Power System Analysis
TL;DR: This is the first text in this area to fully integrate MATLAB and SIMULINK throughout and provides students with an author-developed POWER TOOLBOX DISK organized to perform analyses and explore power system design issues with ease.
Book
Evolutionary Computation: Towards a New Philosophy of Machine Intelligence
TL;DR: In-depth and updated, Evolutionary Computation shows you how to use simulated evolution to achieve machine intelligence and carefully reviews the "no free lunch theorem" and discusses new theoretical findings that challenge some of the mathematical foundations of simulated evolution.