Nonlinear Ride Height Control of Active Air Suspension System with Output Constraints and Time-Varying Disturbances

Zhao, Rongchen; Xie, Wei; Zhao, Jin; Wong, Pak Kin; Silvestre, Carlos

doi:10.3390/s21041539

Cited by 11 publications

(5 citation statements)

References 26 publications

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“…However, the damping and stiffness of passive suspensions are not adjustable, can only achieve optimal performance under specific operating conditions, and cannot adapt to varying operating conditions [1]. Conversely, active suspension has adjustable stiffness and damping, which can effectively improve vehicle stability [2,3]. Electromagnetic suspension has fast response characteristics, good control characteristics, and easy decoupling control, and, as such, has become a research hotspot in the field of active suspension [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Zhou

Bao³

et al. 2022

Sensors

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Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle’s stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.

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Section: Introductionmentioning

confidence: 99%

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Zhou

Bao³

et al. 2022

Sensors

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“…This is a combination of two nonlinear control methods. The tracking nonlinear controller was also used in the paper of Zhao et al [30]. The predictive control model for the pneumatic suspension system has also been used, the effect of which is extremely positive [31].…”

Section: Introductionmentioning

confidence: 99%

Advance the stability of the vehicle by using the pneumatic suspension system integrated with the hydraulic actuator

Nguyen

2021

Lat. Am. j. solids struct.

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“…It focuses on the overall characteristic of the system and the interrelationships among various components rather than the physical process within any single component. Common special or commercial software tools include GFSSP [9,10], Amesim [11,12], EcosimPro [13], Flowmaster [14] and so on. To meet the requirements of multipurpose general modeling, the system simulation usually follows the ideology of modularization, that is, to segment the system into several independent functional modules, and then combine them into a numerical model of the whole system according to certain rules.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modeling and Full-Process Simulation of the Core Engine Test Rig Main Test System

et al. 2021

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As a virtual digital model that can reflect physical entities or systems, digital twins are revolutionizing industry. The first prerequisite for the construction of digital twins is the establishment of high-precision and complex entities or system models. A 47-components numerical system is established for the core engine test rig main test system by using the finite volume modularization modeling method. A comprehensive solution to the system-level valve-spool/orifice throttling modeling, the key issue of the fluid pipeline system modeling, is presented, and the algorithms of throttling and mixing are deepened and expanded. The full-process simulation study on two tests of normal-temperature 1400 s and low-temperature 1240 s shows that the combined regulation of five regulator valves and the change of cold source directly decide dynamic change of the system in each stage; the simulation reveals the phenomena such as the gas cylinder cooling with deflation, the air cooling when expanding from main pipeline to two branch pipelines, shunting flow by branch pipeline, and the cold and hot gases mixing; the overall variation trends of the simulation curves are consistent with those of all the experimental curves of the test rig normal-temperature/low-temperature air supply lines, exhaust bypass, and engine main line in two operating conditions, and the maximum error between simulation curves and test curves of pressure, total pressure, and total temperature is less than 12%. The numerical system can be used for the construction of virtual models of digital twins, and the modeling method provides a feasible solution to the key technology of digital twins.

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Nonlinear Ride Height Control of Active Air Suspension System with Output Constraints and Time-Varying Disturbances

Cited by 11 publications

References 26 publications

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

Advance the stability of the vehicle by using the pneumatic suspension system integrated with the hydraulic actuator

Dynamic Modeling and Full-Process Simulation of the Core Engine Test Rig Main Test System

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