Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization

Panda, Sidhartha; Sahu, Binod Kumar; Mohanty, Pradeep Kumar

doi:10.1016/j.jfranklin.2012.06.008

Cited by 209 publications

(133 citation statements)

References 28 publications

(33 reference statements)

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“…Thus far, PID control is still the basic control method in the process industries. PID control technology and its optimized control technology are accounted for more than 90% in accordance with the survey data [20,21]. The PID control algorithm mainly includes the proportional (P), integral (I), and derivative (D) three modes.…”

Section: Pid Control Algorithmmentioning

confidence: 93%

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A Comparative Study Based on Different Control Algorithms for Suppressing Multistage Gear Transmission System Vibrations

Sun

Zhang

Zhu

et al. 2018

Shock and Vibration

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A modal analysis (MA) was preconsidered to determine a novel active vibration control (AVC) structure of multistage gear transmission system (MGTS) and an appropriate actuating position for the piezoelectric actuator (PZT); the results of the calculating method and the finite element method (FEM) were compared to validate the reliability of MA. The controllers based on different control algorithms were designed to drive the PZTs to output the control force for suppressing the host structure vibrations. To analyze the feasibility of the applied control schemes and discuss the control effects dominated by the different control algorithms, a series of active vibration control numerical simulations were studied. The cosimulation results validate the practicability of the proposed control schemes and provide a forcible guidance for the further experimental works.

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Section: Pid Control Algorithmmentioning

confidence: 93%

“…Therefore, a MA was carried out to solve the above problems. For the undamped free vibration system, the vibration equations can be obtained by simplifying (11), as shown in (20)…”

Section: Modal Analysis Of Mgts Based On Femmentioning

confidence: 99%

A Comparative Study Based on Different Control Algorithms for Suppressing Multistage Gear Transmission System Vibrations

Sun

Zhang

Zhu

et al. 2018

Shock and Vibration

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“…• The number of nodes grows polynomially with respect to the dimension n, as opposed to the exponential growth of the full grid (14).…”

Section: Multivariate Quadraturementioning

confidence: 99%

“…The work [13] considers the design of decentralized (multivariable) PID controllers with probabilistic robustness via Monte Carlo (MC) simulations and genetic algorithms (GAs). Finally, other applications of stochastic methods to the design of PID controllers, not necessarily for process models with probabilistic parameterization, have been reported, for example, in [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Robust PID design by chance-constrained optimization

Mercader

Soltesz

Baños

2017

Journal of the Franklin Institute

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A method for synthesizing proportional-integral-derivative (PID) controllers for process models with probabilistic parametric uncertainty is presented. The proposed method constitutes a stochastic extension to the well-studied maximization of integral gain optimization (MIGO) approach, i.e., maximization of integral gain under constraints on the H∞-norm of relevant closed-loop transfer functions. The underlying chance-constrained optimization problem is solved using a gradient-based algorithm once it has been approximated by a deterministic optimization problem. The approximate solution is then probabilistically verified using randomized algorithms (RAs). The proposed method is demonstrated through several realistic synthesis examples.

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“…Optimization: 이하 PSO로 표기) [6], 유전자알고리즘 (Genetic algorithm: 이하 GA로 표기) [7], 및 MOL (Many Optimization Liaison) [8] …”

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Design and Performance Analysis of PID type Controllers for Automatic Voltage Regulator(AVR) System Based on i-PID, GPI and OCD Methods

Choe¹

2016

The Transactions of The Korean Institute of Electrical Engineer

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-This paper is concerned with applicability of a new type of controllers, called i-PID and GPI in which unknown parts of the plant are taken into account without any modeling procedure, to automatic voltage regulator (AVR) system. First, the procedure for applying i-PID and GPI algorithms to AVR system is proposed, which uses model reduction technique based on the given information of AVR. Second, simulations are given to verify their effectiveness comparing to various PID algorithms including PIDD2 which is four-term controller, that is, consisting of PID and second order derivative terms. Superior response performances of i-PID and GPI in comparison to conventional PID controllers are shown. Moreover, i-PID can highly improve the system robustness with respect to model uncertainties, especially to load variations.

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Design and performance analysis of PID controller for an automatic voltage regulator system using simplified particle swarm optimization

Cited by 209 publications

References 28 publications

A Comparative Study Based on Different Control Algorithms for Suppressing Multistage Gear Transmission System Vibrations

A Comparative Study Based on Different Control Algorithms for Suppressing Multistage Gear Transmission System Vibrations

Robust PID design by chance-constrained optimization

Design and Performance Analysis of PID type Controllers for Automatic Voltage Regulator(AVR) System Based on i-PID, GPI and OCD Methods

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