Design and Analysis of Robust Nonlinear Synergetic Controller for a PMDC Motor Driven Wire-Feeder System (WFS)

Hamouda, Noureddine; Babes, Badreddine; Boutaghane, Amar

doi:10.1007/978-981-15-6403-1_26

Cited by 9 publications

(10 citation statements)

References 11 publications

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“…The Synergetic Controller (SC) is another useful alternative way of controlling the buck DC/DC converters, which can also ensure the robustness against parameter variations and disturbances by using a generalized state-space averaged representation of the system. The SC inherently alleviates the effects of external disturbances, nonlinearities, and uncertainties [12]. For all these features, SCs are extensively used for power electronic applications, including the buck DC/DC converter [13].…”

Section: Related Workmentioning

confidence: 99%

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Experimental Investigation of an Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller for Buck DC/DC Converters

et al. 2022

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This study proposes a way of designing a reliable voltage controller for buck DC/DC converter in which the terminal attractor approach is combined with an enhanced reaching law-based Fast Terminal Synergetic Controller (FTSC). The proposed scheme will overcome the chattering phenomena constraint of existing Sliding Mode Controllers (SMCs) and the issue related to the indefinite time convergence of traditional Synergetic Controllers (SCs). In this approach, the FTSC algorithm will ensure the proper tracking of the voltage while the enhanced reaching law will guarantee finite-time convergence. A Fuzzy Neural Network (FNN) structure is exploited here to approximate the unknown converter nonlinear dynamics due to changes in the input voltage and loads. The Fuzzy Neural Network (FNN) weights are adjusted according to the adaptive law in real-time to respond to changes in system uncertainties, enhancing the increasing the system’s robustness. The applicability of the proposed controller, i.e., the Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller (AFN-FTSC), is evaluated through comprehensive analyses in real-time platforms, along with rigorous comparative studies with an existing FTSC. A dSPACE ds1103 platform is used for the implementation of the proposed scheme. All results confirm fast reference tracking capability with low overshoots and robustness against disturbances while comparing with the FTSC.

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Section: Related Workmentioning

confidence: 99%

“…The initial values for the FNN weights are selected in a random way, and the vector of fuzzy basis functions was constructed by (12). Using these gain parameters, the designed AFN-FTSC and existing FTSC are implemented in the following under different operating points of the buck DC/DC converter.…”

Section: Selection Of the User-defined Parametersmentioning

confidence: 99%

Experimental Investigation of an Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller for Buck DC/DC Converters

et al. 2022

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“…The armature circuit of the PMDC motor can be represented by an inductance (La) in series with resistance (Ra) in cascade with a generated voltage (Ea), that opposes the DC input voltage (Va). Applying Kirchhoff's law to the armature circuit, the torque formula, the back EMF formula, and the movement formula, the dynamic behavior of a PMDC motor can be expressed as follows [53]:…”

Section: Modeling Of Pmdc Motor Wire-feeding System (Wfs)mentioning

confidence: 99%

Fractional-Fuzzy PID Control Approach of Photovoltaic-Wire Feeder System (PV-WFS): Simulation and HIL-Based Experimental Investigation

et al. 2021

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“…The recently introduced synergistic control has been widely accepted by the control community as well as by the industrialists. The success of its implementation has been proven in several areas such as: the battery charging system where Eghtedarpour et al [24] have used the synergetic approach for the local control of the power converters; the flexible satellites with a desired attitude achievement have been presented by Sabatini et al [25]; the output voltage control of the DC/DC buck converter system with an approximation of the unknown parameters has been studied by Babes et al [26] and Hamouda et al [27]; the speed control of the PMDC motor has been proposed by Hamouda et al [28]; the hydraulic turbine regulating system with a stable frequency for small and medium-size power stations has been treated by Huang et al [29] and Bouchama et al [30] present the design of power system stabilizers insensitive to parameters variation. The principle of the synergistic control strategy is similar to that of the sliding mode control (SMC) but devoid of the chattering problem.…”

Section: Introductionmentioning

confidence: 99%

Experimental Evaluation of Single-Phase Shunt Active Power Filter Based on Optimized Synergetic Control Strategy for Power Quality Enhancement

Gherouat¹,

Hassam²,

Aissa³

et al. 2021

JESA

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In this paper, a synergetic approach based on particle swarm optimization (SC-PSO) technique is proposed for Single-Phase Shunt Active Power Filter (SP-SAPF). Two-loop cascade controller for SP-SAPF has been designed. In the first loop, a PI controller is used to effectively regulate the DC link voltage. In the second one, a synergetic controller is performed in the current compensation control loop. The various adjustable parameters of the studied synergetic controller are tuned by a PSO algorithm. The objective of this adjustment is to get the optimal control parameters for satisfying requirements of power quality and high dynamic responses for SP-SAPF. The effectiveness of the suggested SC-PSO approach has been proved by simulation and experimental tests using MATLAB/Simulink environment and dSPACE 1104 card for several operating conditions. The experimental results demonstrate that the developed SC-PSO approach is very satisfactory and offers a high performance for both transient and steady states.

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Design and Analysis of Robust Nonlinear Synergetic Controller for a PMDC Motor Driven Wire-Feeder System (WFS)

Cited by 9 publications

References 11 publications

Experimental Investigation of an Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller for Buck DC/DC Converters

Experimental Investigation of an Adaptive Fuzzy-Neural Fast Terminal Synergetic Controller for Buck DC/DC Converters

Fractional-Fuzzy PID Control Approach of Photovoltaic-Wire Feeder System (PV-WFS): Simulation and HIL-Based Experimental Investigation

Experimental Evaluation of Single-Phase Shunt Active Power Filter Based on Optimized Synergetic Control Strategy for Power Quality Enhancement

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