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Adaptive Smith Predictor for Enhanced Stability of Power Hardware-in-the-Loop Setups

Zhiwang Feng, Rafael Peña‐Alzola, Mazheruddin Syed, Patrick Norman, Graeme Burt

2022IEEE Transactions on Industrial Electronics25 citationsDOI

Abstract

The stability and accuracy of power hardware-in-the-loop (PHIL) setups are sensitive to and deteriorated by the dynamics and nonideal characteristics of their power interfaces, such as time delay, noise perturbation, and signal distortion. In this article, a compensation scheme comprising a Smith predictor compensator is proposed to mitigate the impact of time delay on PHIL stability. Furthermore, an online system impedance identification technique is leveraged to enhance the robustness of the compensator and facilitate the compensation scheme with adaptivity to system impedance variation. Analytical assessment, simulation results, and PHIL experimental results are presented to verify the proposed compensation scheme. This scheme enables robust and stable testing of novel power technologies under varying impedance ratios representative of the complex scenarios emerging within the power sector.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Compensation (psychology)Perturbation (astronomy)Electrical impedanceSmith predictorFeedback loopElectric power systemComputer scienceStability (learning theory)Electronic engineeringPower electronicsImpedance matchingHardware-in-the-loop simulationLoop gainPower (physics)Control engineeringEngineeringPhysicsTemperature controlVoltageElectrical engineeringChemistryGenePsychologyMachine learningControl (management)Computer securityQuantum mechanicsArtificial intelligencePID controllerBiochemistryPsychoanalysisReal-time simulation and control systemsElectromagnetic Compatibility and Noise SuppressionHVDC Systems and Fault Protection
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