Performance Analysis of Fractional Order Terminal SMC for the Half Car Model with Random Road Input

Rajendiran, S.; Lakshmi, P.

doi:10.1007/s42417-019-00161-w

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…The present research proposes two types of nonlinear controllers for use in wind energy conversion systems: first-order SMC sliding mode control and super twisting controllers [49] (second-order SMC) [36]. The theory of the two applied algorithms is presented with an application to the PMSG wind energy conversion system [17] for robust power control.…”

Section: Discussionmentioning

confidence: 99%

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Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator

et al. 2023

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In the field of optimizing wind system control approaches and enhancing the quality of electricity generated on the grid, this research makes a fresh addition. The Sliding Mode Control (SMC) technique produces some fairly intriguing outcomes, but it has a severe flaw in the oscillations (phenomenon of reluctance: chattering) that diminish the system’s efficiency. In this paper, an AST (adaptive super twisting) approach is proposed to control the wind energy conversion system of the permanent magnet synchronous generator (PMSG), which is connected to the electrical system via two converters (grid-side and machine-side) and a capacitor serves as a DC link between them. This research seeks to regulate the generator and grid-side converter to monitor the wind rate reference given by the MPPT technique in order to eliminate the occurrence of the chattering phenomenon. With the help of this approach, precision and stability flaws will be resolved, and the wind system will perform significantly better in terms of productivity. To evaluate the performance of each control in terms of reference tracking, response time, stability, and the quality of the signal sent to the network under different wind conditions, a detailed description of the individual controls is given, preceded by a simulation in the Matlab/Simulink environment. The simulation study validates the control method and demonstrates that the AST control based on the Lyapunov stability theory provides excellent THD and power factor results. This work is completed by a comparative analysis of the other commands to identify the effect on the PMSG wind energy conversion system.

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Section: Discussionmentioning

confidence: 99%

“…El Mourabit Youness et al (2019) [36] improve the performance of the conversion system by studying the Backstepping control experimental validation for a permanent magnet synchronous generator (PMSG) wind turbine using the dSPACE DS1104 control board and the Matlab-Simulink environment in both static and dynamic operating modes.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator

et al. 2023

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“…Active suspensions utilize actuators, such as hydraulic cylinders or electromagnetic actuators, to generate control signals, while semi-active systems offer a simpler approach by adjusting the stiffness and damping of the suspension, as demonstrated by technologies such as magneto-rheological (MR) dampers [4,5], adaptive pneumatic suspension systems [6], and four-stage semi-active hydro-pneumatic spring-damper suspension systems [3,7]. Both active and semi-active systems are classified as closed-loop systems, employing sensors to monitor inputs such as road conditions, vehicle speed, and acceleration, which are used as feedback signals processed by an Electronic Control Unit (ECU) to regulate the suspension system using appropriate control algorithms, such as fractional order sliding mode controllers [8], model-free approaches [9], LQG controllers [10], and genetic algorithms [11] for optimal performance.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of an Asymmetric Damper Suspension on Rough Roads and Steps

Ribeiro

2023

Preprint

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This paper analyzes the advantages of employing an asymmetric suspension compared to a symmetric suspension. The road profiles considered are rough roads and steps, and the optimization parameters include comfort and safety. The optimal suspension is achieved using the Cross-Entropy method, and the obtained results for each profile are contradictory. Asymmetric dampers confer specific advantages over symmetric counterparts, notably in their ability to mitigate transient vibrations experienced during steps. However, their advantage becomes less pronounced during steady-state vibrations induced by rough road conditions. The results obtained show that if a suspension is optimized for steps, the resulting configuration is asymmetric. On the other hand, for rough roads, the resulting configuration is symmetric. This disparity indicates that the optimization of an asymmetric suspension must consider a combination of both scenarios.

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“…Du et al [20] proposed the integrated model of the seat suspension with the human model. Rajendrian and Lakshmi [21] implemented the fractional order terminal sliding mode controller (SMC) to reduce the head acceleration when considering the half car suspension model. Nevertheless, the analysis was done using active control in Reference [20,21].…”

Section: Introductionmentioning

confidence: 99%

“…Rajendrian and Lakshmi [21] implemented the fractional order terminal sliding mode controller (SMC) to reduce the head acceleration when considering the half car suspension model. Nevertheless, the analysis was done using active control in Reference [20,21]. As previously mentioned, the semi-active seat suspensions are the more preferred choice, as compared to the active seat suspensions.…”

Section: Introductionmentioning

confidence: 99%

Performance Investigation of Integrated Model of Quarter Car Semi-Active Seat Suspension with Human Model

et al. 2020

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In this paper, an integrated model of a semi-active seat suspension with a human model over a quarter is presented. The proposed eight-degrees of freedom (8-DOF) integrated model consists of 2-DOF for the quarter car model, 2-DOF for the semi-active seat suspension and 4-DOF for the human model. A magneto-rheological (MR) damper is implemented for the seat suspension. The fuzzy logic-based self-tuning (FLST) proportional–integral–derivative (PID) controller allows to regulate the controlled force on the basis of sprung mass velocity error and its derivative as input. The controlled force is tracked by the Heaviside step function which determines the supply voltage for the MR damper. The performance of the proposed integrated model is analysed, in-terms of human head accelerations, for several road profiles and at different speeds. The performance of the semi-active seat suspension is compared with the traditional passive seat suspension to validate the effectiveness of the proposed integrated model with a semi-active seat suspension. The simulation results show that the semi-active seat suspension improves the ride comfort significantly by reducing the head acceleration effectively compared to the passive seat suspension.

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Performance Analysis of Fractional Order Terminal SMC for the Half Car Model with Random Road Input

Cited by 7 publications

References 12 publications

Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator

Robust Adaptive Super Twisting Algorithm Sliding Mode Control of a Wind System Based on the PMSG Generator

Performance Analysis of an Asymmetric Damper Suspension on Rough Roads and Steps

Performance Investigation of Integrated Model of Quarter Car Semi-Active Seat Suspension with Human Model

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