Journal ArticleDOI
Design of Optimal Fractional-Order PID Controllers Using Particle Swarm Optimization Algorithm for Automatic Voltage Regulator (AVR) System
TLDR
Simulations and comparisons with other FOPID/PID controllers illustrate that the proposed PSO-FOPID controller can provide good control performance with respect to reference input and also improve the system robustness withrespect to model uncertainties.Abstract:
In practical applications, the pure derivative action is never used, due to the “derivative kick” produced in the control signal for a step input, and to the undesirable noise amplification. It is usually replaced by a first-order low-pass filter. In this paper, we use a $$\mu $$
-order fractional low-pass filter and define a practical fractional-order controller. The proposed approach with new defined fitness function has very easy implementation and the most control performance. We present a method for optimum tuning of practical fractional PID controllers for automatic voltage regulator system using particle swarm optimization (PSO) algorithm. PSO is a robust stochastic optimization technique based on the movement and intelligence of swarm, applies the concept of social interaction to problem solving. From the comparison this technique with the other methods, its influence and efficiency are illustrated. Simulations and comparisons with other FOPID/PID controllers illustrate that the proposed PSO-FOPID controller can provide good control performance with respect to reference input and also improve the system robustness with respect to model uncertainties.read more
Citations
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Journal ArticleDOI
Design of fractional order PID controller for automatic regulator voltage system based on multi-objective extremal optimization
TL;DR: A novel FOPID controller design method based on an improved multi-objective extremal optimization (MOEO) algorithm for an automatic regulator voltage (AVR) system and the proposed MOEO algorithm is relatively simpler than NSGA-II and single-objectives evolutionary algorithms, such as genetic algorithm, particle swarm optimization (PSO), chaotic anti swarm (CAS) due to its fewer adjustable parameters.
Journal ArticleDOI
Fractional order PID control design for semi-active control of smart base-isolated structures: A multi-objective cuckoo search approach.
TL;DR: The evaluation of robustness for a stiffness uncertainty of ±10% indicates that the proposed FOPID controller gives a robust performance against such modeling errors.
Journal ArticleDOI
Jaya optimization algorithm for transient response and stability enhancement of a fractional-order PID based automatic voltage regulator system
Touqeer Ahmed Jumani,Touqeer Ahmed Jumani,Mohd Wazir Mustafa,Zohaib Hussain,Zohaib Hussain,Madihah Md. Rasid,Muhammad Salman Saeed,Mehran M. Memon,Ilyas Khan,Kottakkaran Sooppy Nisar +9 more
TL;DR: The intelligence of an artificial intelligence (AI) technique called jaya optimization algorithm (JOA) is utilized in order to obtain an optimal combination of FOPID gains which further led to the optimal transient response and improved stability of the considered AVR system.
Journal ArticleDOI
Salp Swarm Optimization Algorithm-Based Fractional Order PID Controller for Dynamic Response and Stability Enhancement of an Automatic Voltage Regulator System
Ismail Akbar Khan,Ali S. Alghamdi,Touqeer Ahmed Jumani,Arbab Alamgir,Ahmed Bilal Awan,Attaullah Khidrani +5 more
TL;DR: The results show that the proposed SSA-based FOPID tuning method for the AVR system outperformed its conventional counterparts in terms of dynamic response and stability measures.
Journal ArticleDOI
A Novel Design of a Neural Network-Based Fractional PID Controller for Mobile Robots Using Hybridized Fruit Fly and Particle Swarm Optimization
Ghusn Abdul Redha Ibraheem,Ahmad Taher Azar,Ahmad Taher Azar,Ibraheem Kasim Ibraheem,Amjad J. Humaidi +4 more
TL;DR: This work offers the analysis, design, and simulation of a new neural network- (NN) based nonlinear fractional control structure and compares its performance with that of nonlinear neural (NNPID) controllers on the trajectory tracking of the DDMR with different trajectories as study cases.
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.
Book
An Introduction to the Fractional Calculus and Fractional Differential Equations
Kenneth S. Miller,Bertram Ross +1 more
TL;DR: The Riemann-Liouville Fractional Integral Integral Calculus as discussed by the authors is a fractional integral integral calculus with integral integral components, and the Weyl fractional calculus has integral components.
Book
Numerical Methods for Engineers
TL;DR: Numerical methods for engineers , Numerical method for engineers, and more.
Journal ArticleDOI
Fractional-order systems and PI/sup /spl lambda//D/sup /spl mu//-controllers
TL;DR: In this article, a fractional-order PI/sup/spl lambda/D/sup /spl mu/controller with fractionalorder integrator and fractional order differentiator is proposed.