Implementation of Fractional Order PID Controller for an AVR System Using GA and ACO Optimization Techniques

babu, First A.G. Suri; Chiranjeevi, Tirumalasetty

doi:10.1016/j.ifacol.2016.03.096

Cited by 61 publications

(18 citation statements)

References 10 publications

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“…To automatically optimize the parameters of PID controller, we sought to use ACO to optimize the parameters of PID controller. In the meantime, previous studies showed that the PID controller optimized by ACO has excellent performance in direct current motor control [29] and automatic voltage regulation [30]. Especially, in [31], the ant colony optimization Proportional Integral Derivative (ACO-PID) was proposed for controlling of artificial hearts.…”

Section: The Choice Of Control Algorithmmentioning

confidence: 99%

Ant Colony Optimization PID Control of Hypnosis With Propofol Using Renyi Permutation Entropy as Controlled Variable

Liang

Ling-yun

et al. 2019

IEEE Access

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General anesthesia is a critical procedure in clinical surgery. To offer a closed control of depth of hypnosis, we establish a closed-loop anesthetic delivery system for propofol anesthesia. The system consists of three components: 1) three-compartment pharmacokinetic model; 2) a pharmacodynamics model obtained by identifying the relationship of effect-site concentration and Renyi permutation entropy via particle swarm optimization; and 3) ant colony optimization proportion integration differentiation controller. The performance of Renyi permutation entropy and bispectral index in tracking the effect-site concentration is evaluated by the prediction probability. The assessments of the performance of the controller are using: 1) the rising time, percent overshoot, and settling time and 2) median performance error, median absolute performance error, wobble, divergence, and integral absolute error. The results show that the prediction probability of Renyi permutation entropy (0.79±0.13 and mean±standard deviation) is higher than the bispectral index (0.74±0.15). The ant colony optimization proportion integration differentiation controller is quick to respond to sudden changes and maintains the stabilty at the desired depth of hypnosis (rise time and overshoot are 4.53±1.96 min and 3.48±1.49 (%), respectively). In conclusion, the proposed closed-loop anesthetic delivery system has potential value for accurate anesthetic administration.INDEX TERMS General anesthesia, closed-loop anesthetic delivery system, Renyi permutation entropy, ant colony optimization proportional integral derivative, particle swarm optimization.

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Section: The Choice Of Control Algorithmmentioning

confidence: 99%

Ant Colony Optimization PID Control of Hypnosis With Propofol Using Renyi Permutation Entropy as Controlled Variable

Liang

Ling-yun

et al. 2019

IEEE Access

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“…These are, CRONE, fractional order phase lead-lag compensator (FOPLC), tilted-integral-derivative (TID) and fractional order proportional-integral-derivative (FOPID). Also, different artificial intelligence techniques such as evolutionary algorithms; genetic algorithm (GA), bacterial foraging, non-dominated sorting genetic algorithm II (NSGA II), chaotic ant swarm (CAS), particle swarm optimization (PSO) algorithm are employed for tuning of the FOPID controllers (Babu and Chiranjeevi, 2016; Li et al, 2017; Zamani et al, 2009; Zheng et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Delay margin computation of generator excitation control system by using fractional order controller

Erol

2020

Transactions of the Institute of Measurement and Control

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This article is devoted to stability analysis of generator excitation control system that has some time delay with fractional order proportional integral derivative controller by using direct method. When the time delay exceeds certain critical values, the excitation control system becomes unstable. In order to obtain more delay margin, in control part of the system, fractional order proportional integral derivative controller is used. A formulation is obtained to find out the maximum time delay which is known as delay margin with which the system can tolerate without any loss in its stability. All the possible stability regions analytically in the parametric space of the time delay is obtained by using an exact method and it is presented in this study. The method is formulated in frequency domain. The time-domain simulations are implemented to validate theoretical delay margin results in Matlab/Simulink. When it is compared with previous researches in literature, better stability margin is obtained. The results have shown that fractional order PID controller gives wide stability area than integer order PID controller.

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“…Oustaloup et al (2000) proposed an algorithm to make the noninteger order operators in frequency domain be approximately represented by higher order integer order operators. Based on Oustaloup algorithm, researchers have tried many methods in frequency domain to realize fractional control and many achievements have been obtained (Barbosa et al, 2010; Babu and Chiranjeevi, 2016; Merrikh-Bayat, 2012; Salehi et al, 2019; Urooj and Singh, 2019; Zou et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The optimal displacement control for fractional incommensurate mass-spring oscillators by Shifted Legendre polynomials

Jin

Zhou

Shi

et al. 2020

Transactions of the Institute of Measurement and Control

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Based on the Riemann–Liouville fractional derivative, an optimal displacement control strategy for fractional incommensurate mass-spring oscillators has been presented. According to the calculus of variations and the Lagrange multiplier technique, the optimality conditions for the given problem are obtained. Using Shifted Legendre polynomials, the problem of solving differential equations is transformed into the problem of solving a set of algebraic equations. The validity, high efficiency and applicability of the proposed method are demonstrated through the simulation results.

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Implementation of Fractional Order PID Controller for an AVR System Using GA and ACO Optimization Techniques

Cited by 61 publications

References 10 publications

Ant Colony Optimization PID Control of Hypnosis With Propofol Using Renyi Permutation Entropy as Controlled Variable

Ant Colony Optimization PID Control of Hypnosis With Propofol Using Renyi Permutation Entropy as Controlled Variable

Delay margin computation of generator excitation control system by using fractional order controller

The optimal displacement control for fractional incommensurate mass-spring oscillators by Shifted Legendre polynomials

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