Comparative Analysis of Different Model-Based Controllers Using Active Vehicle Suspension System

Shahid, Yumna; Wei, Minxiang

doi:10.3390/a13010010

Cited by 14 publications

(8 citation statements)

References 30 publications

(36 reference statements)

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“…As presented in section II-B, the CF is controlled by an active suspension system; unlike the pantograph in railway applications, only the PCU parameters are included in the CF control. Various approaches have been proposed to control the active suspension, such as the concept of mechanical impedance simulation [33], higher-order sliding mode control (HOSMC) based on a super twisting algorithm (STA), integral sliding mode control (ISMC), proportional integral derivative (PID), linear quadratic regulator (LQR) [34]. The PID controller was employed to control the CF for experimental lab validation of the proposed concept.…”

Section: Design and Modelling Of Cf Controllermentioning

confidence: 99%

Wheel Hub Active Power Collection Unit for Dynamic Conductive Road Charging

Ali

Pickert

Alharbi

et al. 2023

IEEE Trans. Transp. Electrific.

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Travelling hundreds of miles with an electric vehicle (EV) requires a large battery combined with available static fast chargers along the route. Dynamic conductive road charging is seen as an alternative as it allows EVs with smaller battery sizes to travel over longer distances and eliminates intermittent stops for charging. To transfer power during driving, power tracks must be aligned along the road and built either above, beside, or on the road. Therefore, the available EVs' power collection units (PCUs) are either mounted on the vehicle's roof or attached to the chassis. For mainstream applications changing the design of the roof structure and chassis of future EVs would involve enormous development costs. This paper presents an alternative for dynamic conductive road charging where the PCU is embedded in the wheel of an EV. Positioning the PCU in the wheel does not require any substantial change to the integrity of the car and the PCU can easily be removed or added, similar to changing tires. A stationary-hub wheel is used, which offsets the wheel drive motor to an eccentric position, resulting in a static hub that accommodates the PCU. The paper describes the design of the PCU and shows simulation results to support the design. An experimental platform was built to validate the concept. The design of the proposed PCU was based on an EV travelling at a high-speed (200km/h) on a motorway.

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Section: Design and Modelling Of Cf Controllermentioning

confidence: 99%

Wheel Hub Active Power Collection Unit for Dynamic Conductive Road Charging

Ali

Pickert

Alharbi

et al. 2023

IEEE Trans. Transp. Electrific.

View full text Add to dashboard Cite

show abstract

“…For instance, the authors of [14] changed the discontinuity by a hyperbolic function, and in comparison with conventional approaches, the enhancement was acknowledged in the results. Another advance strategy is the usage of high order sliding mode controllers (HOSMC), where high order derivatives are used in the sliding surface, and as a result, the chattering is relieved [15,16]. An example of implementation has been carried out by the authors of [17], where they used an HOSMC as an observer for error compensation in a PEA test rig.…”

Section: Introductionmentioning

confidence: 99%

Advanced Trajectory Control for Piezoelectric Actuators Based on Robust Control Combined with Artificial Neural Networks

et al. 2021

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In applications where high precision in micro- and nanopositioning is required, piezoelectric actuators (PEA) are an optimal micromechatronic choice. However, the accuracy of these devices is affected by a natural phenomenon called “hysteresis” that even increases the instability of the system. This anomaly can be counteracted through a material re-shape or by the design of a control strategy. Through this research, a novel control design has been developed; the structure contemplates an artificial neural network (ANN) feedforward to contract the non-linearities and a robust close-loop compensator to reduce the unmodelled dynamics, uncertainties and perturbations. The proposed scheme was embedded in a dSpace control platform with a Thorlabs PEA; the parameters were tuned online through specific metrics. The outcomes were compared with a conventional proportional-integral-derivative (PID) controller in terms of control signal and tracking performance. The experimental gathered results showed that the advanced proposed strategy had a superior accuracy and chattering reduction.

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“…Another advanced method for chattering reduction is High Order Sliding Mode Control (HOSMC) that was introduced by Reference [47], which intention is to influence the high order derivatives of the system for the chattering alleviation. This technique is well known for its usage in Maximum Power Point Tracking (MPPT) control [48,49], active vehicle suspension [50], but it is also employed for high performance guidance in aircrafts [51] as in PEAs [52][53][54]. The Super-Twisting Algorithm (STA) belongs to the group of HOSMC and it is well known for its robustness and chattering decrease due to the inclusion of an integral term [55].…”

Section: Introductionmentioning

confidence: 99%

High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks

et al. 2021

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Piezoelectric actuators (PEA) are frequently employed in applications where nano-Micr-odisplacement is required because of their high-precision performance. However, the positioning is affected substantially by the hysteresis which resembles in an nonlinear effect. In addition, hysteresis mathematical models own deficiencies that can influence on the reference following performance. The objective of this study was to enhance the tracking accuracy of a commercial PEA stack actuator with the implementation of a novel approach which consists in the use of a Super-Twisting Algorithm (STA) combined with artificial neural networks (ANN). A Lyapunov stability proof is bestowed to explain the theoretical solution. Experimental results of the proposed method were compared with a proportional-integral-derivative (PID) controller. The outcomes in a real PEA reported that the novel structure is stable as it was proved theoretically, and the experiments provided a significant error reduction in contrast with the PID.

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Comparative Analysis of Different Model-Based Controllers Using Active Vehicle Suspension System

Cited by 14 publications

References 30 publications

Wheel Hub Active Power Collection Unit for Dynamic Conductive Road Charging

Wheel Hub Active Power Collection Unit for Dynamic Conductive Road Charging

Advanced Trajectory Control for Piezoelectric Actuators Based on Robust Control Combined with Artificial Neural Networks

High-Performance Tracking for Piezoelectric Actuators Using Super-Twisting Algorithm Based on Artificial Neural Networks

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