Suppression of Chaotic Behavior in Duffing-holmes System using Back-stepping Controller Optimized by Unified Particle Swarm Optimization Algorithm

Gholipour, Reza; Khosravi, Alireza; Mojallali, Hamed

doi:10.5829/idosi.ije.2013.26.11b.05

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…A variable-displacement axial piston pump (2) delivers the pressurized flow with the help of a fixed-speed electric motor (1). Pressure transducers (9) are used to measure the pressure in the actuator's (3) chambers. The hydraulic accumulator ( 7) is treated as a detached component, so it is not shown in the schematic diagram.…”

Section: Variable Displacement Electro Hydro-static Actuation (Vdeha)...mentioning

confidence: 99%

“…Closed-loop and open-loop control are the two different types of control techniques that are utilized for the electrohydraulic actuation system. Several closedloop control strategies, including back-stepping control [6][7][8][9], advanced adaptive control [10][11][12], sliding mode control [13], PID control [14], intelligent control [15], and unknown dynamics estimator control [16,17], have been developed for use in control application of electrohydraulic systems. By combining feedback and dynamics estimation, these approaches can achieve extremely high control accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Analysis of Square Position on Variable Displacement Electrohydraulic Actuation System by Open Loop Control

Kumar

Mandal

2023

IJE

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Electrohydraulic actuation systems offer definative position control and an energy-efficient solution. Such systems are widely used in mobile machinery, robotics, and various stationary systems. Achieving good control of actuator position of the variable displacement electrohydraulic actuation system by an open loop control is the objective of this study. For square position (reference position) control, amplitude is taken as 0.1 m, at 0.05, 0.15 and 0.25 Hertz of frequency. Square position control is accomplished with LabVIEW algorithm through the application of compact RIO controller having input and output module. Appropriate control of voltage supply is obtained, when response position and reference position show appropiate accuracy. A higher Pearson's correlation coefficient near to 1 and lower the Mean absolute error, Mean deviation of error and standard deviation of error represent the best response position. It is observed that highest value of correlation coefficient achieved at 0.05 Hertz of frequency for response R3. At a lower frequency, square position control is better with higher correlation coefficient and lowest values of errors.

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Section: Variable Displacement Electro Hydro-static Actuation (Vdeha)...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Analysis of Square Position on Variable Displacement Electrohydraulic Actuation System by Open Loop Control

Kumar

Mandal

2023

IJE

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“…In which x = sin ( t∕10) . In order to have a quantitative comparison, consider the criterion Fitness = ∫ 10 0 � ∑ i e 2 i � dt [43][44][45][46][47][48][49][50][51][52]. All the controller parameters are the same as those presented in simulation 1.…”

Section: Simulation 2: Comparison Between Different Uncertainty Estimmentioning

confidence: 99%

Design of an adaptive dynamic sliding mode control approach for robotic systems via uncertainty estimators with exponential convergence rate

2020

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In this work, an adaptive dynamic sliding mode control approach is proposed for robotic systems via uncertainty estimators with exponential convergence rate. The uncertainties are estimated using various uncertainty estimators such as the Fourier series expansion, Legendre polynomials and adaptive fuzzy systems. Also, for each uncertainty estimator, the approximation error is compensated. The adaptation laws are derived using a stability analysis. Moreover, the asymptotic convergence of the tracking error and the boundedness of all closed-loop signals are guaranteed. The novelty of this paper is proposing a positive exponential function for the convergence rate of the adaptation rules to prevent from initial high voltages originated from large initial tracking errors. Another novelty of this paper is presenting a robust control term for the truncation error that improves the accuracy of the control system. Analysis of simulations reveals the effectiveness of the proposed method in terms of fast disturbance rejection and negligible tracking error.

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“…PSO is one of the most popular algorithms of the Swarm intelligence proposed by Kennedy and Eberhart [40]. This algorithm is inspired by the natural process of group communication that it was used to model and control many physical and engineering applications [44,45].…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Identification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm

Aslipour

Yazdizadeh

2020

IJE

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In this paper, an efficient technique is presented to identify a 2500 KW wind turbine operating in Kahak wind farm, Qazvin province, Iran. This complicated system dealing with wind behavior is identified by using a proposed fractional order dynamic neural network (FODNN) optimized with evolutionary computation. In the proposed method, some parameters of FODNN are unknown during the process of identification, so a particle swarm optimization (PSO) algorithm is employed to determine the optimal values by which a fractional order nonlinear system can be completely identified with a high degree of accuracy. These parameters are very effective to achieve high performance of FODNN identifier and they include fractional order, initial values of states and weights of FODNN, and numerical algorithm step size for solving FODNN equation. Simulation results confirm the efficiency of the proposed scheme in term of accuracy. Furthermore, comparison of the results achieved by the proposed method and those of the integer order dynamic neural network (IODNN) depicts higher accuracy of the proposed FODNN.

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Suppression of Chaotic Behavior in Duffing-holmes System using Back-stepping Controller Optimized by Unified Particle Swarm Optimization Algorithm

Cited by 6 publications

References 18 publications

Experimental Analysis of Square Position on Variable Displacement Electrohydraulic Actuation System by Open Loop Control

Experimental Analysis of Square Position on Variable Displacement Electrohydraulic Actuation System by Open Loop Control

Design of an adaptive dynamic sliding mode control approach for robotic systems via uncertainty estimators with exponential convergence rate

Identification of Wind Turbine using Fractional Order Dynamic Neural Network and Optimization Algorithm

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