Chattering analysis for discrete sliding mode control of distributed control systems

Ren, Litong; Xie, Shaojun; Zhang, Yu; Peng, Jingbo; Zhang, Ledi

doi:10.21629/jsee.2016.05.17

Cited by 8 publications

(4 citation statements)

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“…These oscillations are actually undesirable, and hence chattering is a harmful phenomenon, which leads to low accuracies in control systems. The fast dynamics that are often ignored in ideal control models cause this issue 105,106 . Also, due to the oscillations, the mechanical parts that respond to the oscillations may wear and get damaged, and in case of regenerative braking, this can affect the motor parts and unnecessary damage can occur.…”

Section: Regenerative Braking Control Strategies In Electric Vehiclesmentioning

confidence: 99%

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Saiteja

Ashok

Wagh

et al. 2022

Intl J of Energy Research

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Summary Vehicle technology advances and the world shifts towards E‐mobility, improving the performance of electric vehicles (EVs) and HEVs, which are becoming the prominent focus. One of the prime topics of EV development is increasing the driving range, which is the fundamental requirement. Apart from increasing the battery capacity, retrieving the wasted energy during conventional braking, also called as regenerative braking, is a hot topic. In this context, numerous control architectures and major braking approaches are considered to examine in this study in order to create an efficient regenerative braking system (RBS). This review article intends to provide an overview of major subsystems in the RBS such as motor control system and hydraulic braking system and how it affects the braking performance is also well discussed. Additionally, it complies with some of the recent research applications and systematically reviews the several braking control strategies implied. The prominent ones are fuzzy logic control, neural network, MPC, sliding mode, and adaptive control modelling approaches. These control strategies are used to enhance energy regeneration without affecting vehicle performance. Further, this article discusses the RBS design process and its calibration variables, such as speed of the vehicle and brake force estimation, which can be used to improve braking performance. Moreover, challenges on RBS improvements are effectively addressed, coupled with brief suggestions and discussions for the growth of future RBS development. Finally, this article will hopefully help the reader to critically analyse the working of RBS and encourage to design of an efficient RBS for electro‐mobility application. Highlights A holistic overview of the RBS control system architecture and its various control systems is reviewed. Various brake energy control strategies like Fuzzy, MPC, NN, SMC, Adaptive and learning‐based controls are critically evaluated. The discussion of necessary calibration process and its associated parameters are elucidated. Representation of real‐time design and development process of an efficient RBS in EV. Some of the prominent challenges faced during design and development of RBS and scope of future improvement is suggested.

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Section: Regenerative Braking Control Strategies In Electric Vehiclesmentioning

confidence: 99%

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Saiteja

Ashok

Wagh

et al. 2022

Intl J of Energy Research

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“…In [29], [30], a sliding mode control with varying boundary layers was used to decrease the chattering phenomenon for position tracking of a nonlinear electro-hydraulic position servo system. It was confirmed in [31]- [33] that exponential reaching law was an effective method to decrease chattering of the sliding mode control, however, the large gain coefficients will degrade the performance of hydraulic systems. To improve the dynamic performance and eliminate the high-frequency chattering, a weighting factor estimation technique was introduced in [34].…”

Section: Introductionmentioning

confidence: 97%

Modeling and Position Tracking Control of a Novel Circular Hydraulic Actuator With Uncertain Parameters

Yang

Shi

et al. 2019

IEEE Access

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In order to realize precise position tracking of a novel circular hydraulic actuator with parameter uncertainties and bounded disturbances, an adaptive sliding mode controller (ASMC) that incorporates a fuzzy tuning technique is proposed in this paper. The mechanical structure and basic principle of the actuator are first introduced, and the mathematical model of its corresponding valve-controlled hydraulic servo system is constructed. Based on Lyapunov stability theory, online parameter estimation and sliding mode controller design are effectively integrated to approximate the equivalent control of sliding mode. To mitigate the undesired chattering phenomenon and further improve system performance, a fuzzy tuning scheme is employed to regulate the proportional gain of the approaching control term. In addition, a realtime control platform is established, and the controllers parameter identification and position tracking are verified by preliminary experiments. Finally, the traditional PID controller and the exponent approaching sliding controller are also conduced to further evaluate the control performances of the designed controller, and the comparative results demonstrate that the proposed control scheme has better control performance in reducing errors for trajectory tracking.INDEX TERMS Position tracking, circular hydraulic actuator, parameter uncertainties, adaptive sliding mode control, fuzzy tuning scheme.

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“…Major challenges in the design of the high-order SMCs include sensitivity to the measurement noise and initial conditions, which increase the design complexity, inability to remove chattering completely and differentiator problems. Further issues regarding the high-order SMCs are finite-time convergence (Behnamgol and Vali, 2015; Song et al, 2017) and chattering analysis (Ren et al, 2016; Shtessel et al, 2014b).…”

Section: Introductionmentioning

confidence: 99%

Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H_∞-based approach

Toshani

Farrokhi

2019

Transactions of the Institute of Measurement and Control

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In this paper, a robust and chattering-free sliding-mode control strategy using recurrent neural networks (RNNs) and H∞ approach for a class of nonlinear systems with uncertainties is proposed. The dynamic and algebraic models of the RNN are extracted based on the nominal model of the system and formulation of a quadratic programming problem. For tuning the parameters of the sliding surface, the performance index and the switching coefficient, a robust approach based on the H∞ method is developed. To this end, the control law is divided into two parts: (1) the main term, which includes the feedback error and (2) other terms, which include the network states, the reference input and its derivatives and the effects of the uncertainties. The feedback error gain is tuned by solving a linear matrix inequality. The neural optimizer determines the sliding-mode control law without being directly affected by the uncertainties. By applying the proposed method to the continuous-stirred reactor tank and the inverted pendulum problems, the performance of the proposed controller has been evaluated in terms of the tracking accuracy, elimination of the chattering, robustness against the uncertainties and feasibility of the control signals. Moreover, the results are compared with the conventional and twisting sliding-mode control methods.

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Chattering analysis for discrete sliding mode control of distributed control systems

Cited by 8 publications

References 0 publications

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Modeling and Position Tracking Control of a Novel Circular Hydraulic Actuator With Uncertain Parameters

Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H_∞-based approach

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Chattering analysis for discrete sliding mode control of distributed control systems

Cited by 8 publications

References 0 publications

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Critical review on optimal regenerative braking control system architecture, calibration parameters and development challenges for EVs

Modeling and Position Tracking Control of a Novel Circular Hydraulic Actuator With Uncertain Parameters

Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H∞-based approach

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Robust chattering-free optimal sliding-mode control using recurrent neural networks: An H_∞-based approach