Some characteristics of optimal vehicle suspensions based on quarter-car models

Tseng, Tzu-Yu; Hrovat, Davor

doi:10.1109/cdc.1990.204022

“…The smaller the suspension stroke and the larger the tire deflection are, the better the road adhesion becomes. Generally, it is known that there is trade-off between ride comfort and road adhesion [1,4,5]. For example, the suspension stroke increases and the tire deflection decreases smaller if the suspension is softly tuned.…”

Section: Introductionmentioning

confidence: 99%

“…For example, the suspension stroke increases and the tire deflection decreases smaller if the suspension is softly tuned. As a result, the ride comfort is improved and road adhesion deteriorates [4].…”

Section: Introductionmentioning

confidence: 99%

“…In view of the dynamic models used for controller design purpose, the 2-DOF quarter-car, 4-DOF half-car, and 7-DOF full-car models have been used. Among them, the 2-DOF quarter-car model is most frequently used [4,[6][7][8][9][10][11][12][13][14][15][16][17]. With regard to controller design methodologies, the linear optimal control, nonlinear control, and adaptive control theories have been adopted.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of Static Output Feedback Controllers for an Active Suspension System

Jeong

¹

,

Sohn

²

,

Chang

³

et al. 2022

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This paper presents a method by which to design linear quadratic (LQ) static output feedback (SOF) controllers with a 2-DOF quarter-car model for an active suspension system. Generally, it is challenging to implement linear quadratic regulator (LQR), designed with a full-car model, in actual vehicles because doing so requires 14 state variables to be precisely measured. For this reason, LQR has been designed with a quarter-car model and then applied to a full-car model. Although this requires far fewer state variables, some of them are still difficult to measure. Thus, it is necessary to design a LQ SOF controller which uses available sensor signals that are relatively easily measured in real vehicles. In this paper, a LQ SOF controller is designed with a quarter-car model and applied to a full-car model for ride comfort. To design the controller, an optimization problem is formulated and solved by a heuristic optimization method. A frequency domain analysis and a simulation with a simulation package show that the proposed LQ SOF controllers effectively improve the ride comfort with an active suspension system.INDEX TERMS active suspension control, static output feedback control, 2-DOF quarter-car model, 7-DOF full-car model, linear quadratic regulator

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“…The suspension system was selected at that time because the automotive industry was seriously considering implementation of active suspension systems on automobiles [1][2][3][4][5][6][7][8] . A quarter-car model was selected because it would be feasible to test in a laboratory environment.…”

Section: Introductionmentioning

confidence: 99%

Development and control of a prototype pneumatic active suspension system

Anakwa

¹

,

Thomas

²

,

Jones

³

et al. 2002

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Real physical plants for control experimentation are valuable tools in a control laboratory. This paper describes a prototype pneumatic active suspension system, which was designed and built over a number of years as a sequence of student projects. The physical plant, which models a quarter-car suspension, consists of a wheel, coil springs, a pneumatic actuator for active damping, position and velocity sensors, and an AC motor for simulating road disturbance input signal. An electronic subsystem is used to process the sensor signals which are sent to a Motorola 68HC16 microcontroller-based evaluation board. The microcontroller controls a 4-bit automatic binary regulator which controls airflow to the pneumatic actuator for damping. A mathematical model of the suspension system was derived analytically and validated experimentally. Matlab and Simulink were used to analyze and design a digital state feedback plus integral controller for the system. The digital controller was implemented on a Motorola 68HC16 microcontroller. The controller was able to reject a physically generated 0.01143m negative step road disturbance input. The details of the design construction, modeling, analysis, computer simulation, controller implementation and experimental results are presented.

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“…In order for students to gain experience in design and construction of a physical plant, as well as control experimentation, a decision was made in the fall of 1990 to build a prototype pneumatic active suspension system as a student project. The suspension system was selected at that time because the automotive industry was seriously considering implementation of active suspension systems on automobiles [1][2][3][4][5][6][7][8] . A quarter-car model was selected because it would be feasible to test in a laboratory environment.…”

Section: Introductionmentioning

confidence: 99%

Development And Control Of A Prototype Pneumatic Active Suspension System

Anakwa

¹

,

Thomas

²

,

Jones

³

et al.

2000 Annual Conference Proceedings

0

View full text Add to dashboard Cite

Real physical plants for control experimentation are valuable tools in a control laboratory. This paper describes a prototype pneumatic active suspension system, which was designed and built over a number of years as a sequence of student projects. The physical plant, which models a quarter-car suspension, consists of a wheel, coil springs, a pneumatic actuator for active damping, position and velocity sensors, and an AC motor for simulating road disturbance input signal. An electronic subsystem is used to process the sensor signals which are sent to a Motorola 68HC16 microcontroller-based evaluation board. The microcontroller controls a 4-bit automatic binary regulator which controls airflow to the pneumatic actuator for damping. A mathematical model of the suspension system was derived analytically and validated experimentally. Matlab and Simulink were used to analyze and design a digital state feedback plus integral controller for the system. The digital controller was implemented on a Motorola 68HC16 microcontroller. The controller was able to reject a physically generated 0.01143m negative step road disturbance input. The details of the design construction, modeling, analysis, computer simulation, controller implementation and experimental results are presented.

show abstract

Some characteristics of optimal vehicle suspensions based on quarter-car models

Cited by 16 publications

References 11 publications

Design of Static Output Feedback Controllers for an Active Suspension System

Design of Static Output Feedback Controllers for an Active Suspension System

Development and control of a prototype pneumatic active suspension system

Development And Control Of A Prototype Pneumatic Active Suspension System

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