Modified active disturbance rejection control for non-linear semi-active vehicle suspension with magneto-rheological damper

Cheng, Mingxing; Jiao, Xiaohong

doi:10.1177/0142331217707363

Cited by 18 publications

(13 citation statements)

References 30 publications

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“…The simplicity of implementation and resistance to disturbances are the advantages mentioned in this article. In Cheng and Jiao, 19 the design of the ADRC with extended state observer is considered for a semi-active suspension system with magnetic damper and the superiority of this controller is shown in comparison with the linear controllers. In Cao and Zeng, 20 an adaptive back-stepping SMC is designed for an underwater glider.…”

Section: Control System Designmentioning

confidence: 99%

Development of the active disturbance rejection control method for increasing the stability of the long articulated vehicle

Esmaeili

Kazemi

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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Today, with the increasing growth in road traffic, many countries are welcoming long articulated vehicles because of their economic and environmental benefits and the positive effects on the problem of traffic congestion and the reduction in fuel consumption and environmental pollutants. The major problem with such vehicles is poor maneuverability at low speeds and inappropriate lateral performance at high speeds, resulting in accidents and financial losses. Therefore, in order to improve their safety, they need a control system that can improve the performance of the long articulated vehicles. In this article, a 19-degree of freedom dynamic model of the long articulated vehicle has been developed in MATLAB software. This vehicle consists of a tractor and two semi-trailer units. To adjust the articulated vehicle lateral dynamics, a robust control method based on the combination of active disturbance rejection control and back-stepping sliding mode control is introduced. Four control variables such as yaw rate and lateral velocity of the tractor and also first and second articulation angles are regulated by steering the axles of the tractor and two trailers. Furthermore, in order to measure the state variables of the long articulated vehicle, the extended Kalman filter is used. The results of the simulation in high-speed lane change and low-speed steep steer maneuvers indicate the superiority of this method over linear-quadratic regulator and sliding mode controllers. Finally, the robustness of this controller than conventional sliding mode and active disturbance rejection sliding mode controllers have been shown in the presence of noises.

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Section: Control System Designmentioning

confidence: 99%

Development of the active disturbance rejection control method for increasing the stability of the long articulated vehicle

Esmaeili

Kazemi

2019

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Song et al (2015, 2016, 2017) proposed a nonlinear fractional-order proportion integration differentiation (PID) ADRC method for the hypersonic vehicle attitude control. Cheng and Jiao (2018) applied the linear active disturbance rejection control (LADRC) in the quarter-car non-linear semi-active suspension system. Sun et al (2018) presented a comprehensive decoupling controller for gas flow facilities.…”

Section: Introductionmentioning

confidence: 99%

Stability analysis of the high-order nonlinear extended state observers for a class of nonlinear control systems

Gao

Yang

2019

Transactions of the Institute of Measurement and Control

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The nonlinear extended state observer (ESO) is a novel observer for a class of nonlinear control system. However, the non-smooth structure of the nonlinear ESO makes it difficult to measure the stability. In this paper, the stability problem of the nonlinear ESO is considered. The describing function (DF) method is adopted to analyze the stability of high-order nonlinear ESOs. The main result of the paper shows the existence of the self-oscillation and a sufficient stability condition for high-order nonlinear ESOs. Based on the analysis results, we give a simple and fast parameter tuning method for the nonlinear ESO and the active disturbance rejection control (ADRC). Realistic application simulations show the effectiveness of the proposed parameter tuning method.

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“…In this paper, an active disturbance rejection control (ADRC) based protocol is proposed to address the aforementioned formation problem. ADRC is a relatively new technique and has attracted extensive attention recently both in theory (Ran et al, 2016, 2017) and industry (Cheng and Jiao, 2017; Huang et al, 2017). The essentials of ADRC are summed up in Han (2009).…”

Section: Introductionmentioning

confidence: 99%

Time-varying formation control for unmanned aerial vehicles with external disturbances

Liu

Wang

Dong

et al. 2019

Transactions of the Institute of Measurement and Control

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Time-varying formation control for unmanned aerial vehicles (UAVs) swarm systems with external disturbances is investigated via active disturbance rejection control (ADRC). The external disturbances are estimated by a designed extended state observer (ESO). Then, a distributed formation control protocol is designed according to the output of ESO, under which the predefined time-varying formation can be achieved. The closed-loop system under the proposed control strategy is analyzed. In addition, the expression of formation center function of the disturbed formation control is also depicted. Finally, numerical instances are simulated in order to demonstrate the validity and superiority of the proposed control strategy.

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Modified active disturbance rejection control for non-linear semi-active vehicle suspension with magneto-rheological damper

Cited by 18 publications

References 30 publications

Development of the active disturbance rejection control method for increasing the stability of the long articulated vehicle

Development of the active disturbance rejection control method for increasing the stability of the long articulated vehicle

Stability analysis of the high-order nonlinear extended state observers for a class of nonlinear control systems

Time-varying formation control for unmanned aerial vehicles with external disturbances

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