Resilient Control Design for Lateral Motion Regulation of Intelligent Vehicle

Chang, Xiao‐Heng; Yi, Lin; Shen, Mohan

doi:10.1109/tmech.2019.2946895

Cited by 122 publications

(66 citation statements)

References 35 publications

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“…The IF condition comprised of two inputs having ''AND'' an algebraic product operator. By taking into account (14), the former part of this statement can be defined as in (15):…”

Section: ) Adaptive Droop Controlmentioning

confidence: 99%

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Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

et al. 2020

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The number of electric vehicles and renewable energy resources integrated into the power system is increasing day by day. The objective behind the development of electric vehicles and renewable energy sources is to build a sustainable and green power system. The renewables either don't possess system inertia or have less system inertia, therefore, they don't effectively respond to the load variations. The battery storage system of electric vehicles is used as the first line of defense to counter the effect of load/frequency variations and make the system stable. As active power is inversely proportional to the system frequency, for this purpose electric vehicles are included in the microgrid environment. In this paper, an isolated microgrid having a reheat turbine system, wind turbine system, photovoltaic system, and electric vehicles is studied. The output of the renewables is not controlled to utilize its maximum output power. Therefore, adaptive droop control and fuzzy PI control mechanisms are implemented to cater to the frequency variations of the isolated microgrid; the former regulates the power of electric vehicles while maintaining the energy needs of each EV and the later controls the output power of reheat turbine system according to the frequency variation. Furthermore, the genetic algorithm optimization toolbox is utilized to optimize the parameters of the adaptive and fuzzy PI controllers. The proposed model is developed in MATLAB/Simulink which shows that these control techniques effectively sustained the system frequency of isolated microgrid in the desired limits. INDEX TERMS Adaptive droop control, electric vehicles, frequency regulation, fuzzy PI control, GA optimization technique, renewable energy sources, reheat turbine system.

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“…The IF condition comprised of two inputs having ''AND'' an algebraic product operator. By taking into account (14), the former part of this statement can be defined as in (15):…”

Section: ) Adaptive Droop Controlmentioning

confidence: 99%

“…A secondary control mechanism is considered to stabilize the frequency and voltage [14]. The recent development in the control mechanisms to regulate the aerodynamics and resilient control of EVs are studied by various researchers [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

et al. 2020

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“…Using the adaptive laws (17) and considering Assumption 1, one haṡ L z ≤ − |S z | + τα 0α0 + τα 1α1 + τα 2α2 (21) where Since…”

Section: A Altitude Controlmentioning

confidence: 99%

“…However, adaptive control methods are limited to systems with constant or slow time varying disturbances. A sliding mode control (SMC) technique is essential for mitigating all kind of bounded uncertainties and disturbances [19]- [21]. A SMC was combined with adaptive backstepping approach for the altitude and the attitude tracking of an octorotor [22].…”

Section: Introductionmentioning

confidence: 99%

Robust Adaptive Multilevel Control of a Quadrotor

Mahmoud

Maaruf

2020

IEEE Access

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This study proposes a new multilevel control of a quadrotor with dynamic uncertainties and time-varying external disturbances. The quadrotor model is partitioned into three subsystems: the vertical position, the horizontal position and the rotational subsystems. First, a double loop integral fast terminal sliding mode control with an adaptive estimator for disturbances' upper-bounds (ADIFTSMC) is proposed for the altitude subsystem to ensure that the quadrotor reaches the desired height. Secondly, a radial basis function neural network backstepping controller (RBFNNBC) is applied to the horizontal subsystem. Finally, by combining a finite time exact disturbance observer with backstepping nonsingular fast terminal sliding mode control (FDOBNFTSMC), the rotational angles converge to the reference angles in the presence of the time-varying disturbances. Furthermore, a Lyapunov stability analysis is used to prove that the tracking errors converge to a small neighborhood of the origin. Numerical simulations illustrate the feasibility of the compound control structure.

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“…Conventional implementation of active suspensions has been accompanied with microprocessors and associated with the computer. For the investigations of active suspension structure and vehicle dynamics, different types of vehicle models are constructed by several researchers [25]- [27]. Three different main dynamic models are used in suspension control systems.…”

Section: Introductionmentioning

confidence: 99%

Vibration Control of Truck Cabins With the Adaptive Vectorial Backstepping Design of Electromagnetic Active Suspension System

Başaran

2020

IEEE Access

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The active suspension system is an important equipment that isolates the vibrations that may come from outside in a land vehicle. In heavy vehicles, the active suspension system can be used to dampen vibrations in the driver's cabin. The electromagnetic actuator is used as an active element in suspension system. Traditionally, the use of active suspension systems is mainly on automobiles and the studies related to heavy vehicles like trucks lack enough interest. In this study, dynamic modeling of a three-axle heavy vehicle cabin is performed with a half-car approach and it is aimed to suppress the disruptive effects coming from the road with active electromagnetic actuators. Lyapunov based backstepping control design is expressed in vectorial form for the heavy vehicle system, which is a multi-input multi-output system. To demonstrate the performance of the designed controller, a comparison has been made for the active and passive states for the truck cabin suspension system. The main feature of the applied control method is that it does not require knowing the actuator parameters, the adaptive term can handle the estimate of the actuator parameter. The stability of the proposed system has been proven via Lyapunov based arguments and given simulation works. The results obtained are important to suppress vibration, consequently, decreases the vibration exposure for truck drivers in terms of occupational health and safety aspects. INDEX TERMS Adaptive backstepping control, Truck cabin suspension system, Truck modeling.

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Resilient Control Design for Lateral Motion Regulation of Intelligent Vehicle

Cited by 122 publications

References 35 publications

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

Adaptive and Fuzzy PI Controllers Design for Frequency Regulation of Isolated Microgrid Integrated With Electric Vehicles

Robust Adaptive Multilevel Control of a Quadrotor

Vibration Control of Truck Cabins With the Adaptive Vectorial Backstepping Design of Electromagnetic Active Suspension System

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