An adaptive sliding mode control system and its application to real‐time hybrid simulation

Li, Hongwei; Maghareh, Amin; Uribe, Johnny Wilfredo Condori; Montoya, Herta; Dyke, Shirley J.; Xu, Zhao‐Dong

doi:10.1002/stc.2851

Cited by 10 publications

(4 citation statements)

References 32 publications

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“…However, the control strategy we proposed requires both layers to deal with more intractable control plants as we will discuss later in detail. Both the BLS estimator and the sliding mode controller have been proposed and discussed in our previous work [15][16][17]. Here, we will briefly present how the BLS estimator and the sliding mode controller work and then describe the control strategy that could fully take advantage of them.…”

Section: Adaptive and Robust Control Strategymentioning

confidence: 99%

An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation

Wang

et al. 2022

Sensors

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A real-time hybrid simulation (RTHS) is a promising technique to investigate a complicated or large-scale structure by dividing it into numerical and physical substructures and conducting cyber-physical tests on it. The control system design of an RTHS is a challenging topic due to the additional feedback between the physical and numerical substructures, and the complexity of the physical control plant. This paper proposes a novel RTHS control strategy by combining the theories of adaptive control and robust control, where a reformed plant which is highly simplified compared to the physical plant can be used to design the control system without compromising the control performance. The adaptation and robustness features of the control system are realized by the bounded-gain forgetting least-squares estimator and the sliding mode controller, respectively. The control strategy is validated by investigating an RTHS benchmark problem of a nonlinear three-story steel frame The proposed control strategy could simplify the control system design and does not require a precise physical plant; thus, it is an efficient and practical option for an RTHS.

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Section: Adaptive and Robust Control Strategymentioning

confidence: 99%

An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation

Wang

et al. 2022

Sensors

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“…By solving the problem of sensitivity to internal parametric variations of the machine and external perturbations, this work aims at enhancing the robustness and stability of the DTC control algorithm by replacing conventional linear PI controllers with modern controllers, including PI anti-Windup, first-order and second-order sliding mode based on super-twisting algorithm (SMC and SOSMC), Fuzzy-PI and hybrid Fuzzy second-order sliding mode controllers (FSOSMC) [9,10].…”

Section: Introductionmentioning

confidence: 99%

Improvement DTC for Induction Motor Drives Using Modern Speed Controllers Tuning by PSO Algorithm

Kiyyour

Laggoun

Ahmed

et al. 2023

Period. Polytech. Elec. Eng. Comp. Sci.

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The work carried out in this paper proposes an improvement of the direct torque control (DTC) of induction machine by the design of modern, robust and more efficient controllers than the conventional PI controllers commonly used for speed control. A comparative study has been carried out using five controllers, i.e. PI anti-windup, first-order sliding mode control (SMC), second order sliding mode control (SOSMC), fuzzy logic controller (Fuzzy-PI) and hybrid Fuzzy second-order sliding mode controller (FSOSMC). An advanced optimization technique based on the particle swarm optimization (PSO) algorithm has been utilized to optimize all of these controllers, the use of PSO for the determination of the different gains used in all controllers gives on the one hand a high accuracy performance and ensures on the other hand a reliable comparison between the different controllers in their optimal states. The simulation and analysis of each method with respect to robustness to disturbances was performed externally under various operating conditions and variations of the machine parameters.

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“…Te backstepping method was introduced by Ouyang et al [24] to deal with variable time delay, and an adaptive control law was designed by Lyapunov stability analysis. To accomplish high performance and robust RTHS, Li et al [25] established an adaptive sliding mode control method by combining the adaptive and robust control strategies. Aiming at enhancing RTHS's fdelity, Tsokanas et al [4] introduced the adaptive strategy into the model predict control and designed a novel tracking controller.…”

Section: Introductionmentioning

confidence: 99%

A Novel Model-Based Adaptive Feedforward-Feedback Control Method for Real-Time Hybrid Simulation considering Additive Error Model

Ning,

Huang,

et al. 2023

Structural Control and Health Monitoring

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Adaptive control methods have been widely adopted to handle the variable time delay in real-time hybrid simulation (RTHS). Nevertheless, the initial parameter settings in adaptive control law, the parameter estimation method, and the testing system nonlinearity will affect RTHS’s accuracy and stability at different levels. To this end, this study proposes a novel model-based adaptive feedforward-feedback control method that considers an additive error model. In the proposed method, the time delay and amplitude discrepancy are roughly compensated by a feedforward controller and then finely reduced by an adaptive controller, and an outer-loop control formed by the feedback controller is introduced to improve the ability and robustness furthermore. What’s more, the testing system, composed of the transfer system and physical specimen, is divided into the nominal and additive error models. The feedforward controller is devised using the inverse nominal model, whose parameters are constant. The adaptive controller is designed to adopt a discrete-time additive error model, in which the parameters are identified online by the Kalman filter. Numerical simulations, parametric studies, and actual experiments were carried out to inspect the feasibility and effectiveness of this method thoroughly. Results indicate that the proposed method can effectively improve the accuracy and stability of RTHS and significantly reduce the dependence on the adaptive control law. Moreover, the proposed method exhibits strong robustness and is, therefore, useful in RTHS.

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An adaptive sliding mode control system and its application to real‐time hybrid simulation

Cited by 10 publications

References 32 publications

An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation

An Adaptive and Robust Control Strategy for Real-Time Hybrid Simulation

Improvement DTC for Induction Motor Drives Using Modern Speed Controllers Tuning by PSO Algorithm

A Novel Model-Based Adaptive Feedforward-Feedback Control Method for Real-Time Hybrid Simulation considering Additive Error Model

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