Development of an Electric Active Stabilizer System Based on Robust Design

Ohta, Yuuki; Kato, Hiroaki; Yamada, Daisuke; Sato, Katsuhiko; Fukino, Takashi; Nobuyama, Eitaku; Buma, Shuichi

doi:10.4271/2006-01-0758

Cited by 15 publications

(11 citation statements)

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“…In (5), the definitions of the system matrices, ,  and , are given in (6). As shown in (6), the system matrices in (5) can be easily updated according to the change of parameters in (4).…”

Section: A Vehicle Modelmentioning

confidence: 99%

“…Therefore, in terms of ARS, an AARB is more advantageous than an active suspension from a cost or energy consumption perspective. To date, various types of AARBs have been developed and have already been commercialized by Toyota and BMW [4,5]. Different from active suspension or AARB, CDC is a semi-active device, which can generate a force to resist the suspension travel.…”

Section: Introductionmentioning

confidence: 99%

“…To date, various control methods for ARS have been proposed [4,[8][9][10][11][12][13][14][15]. All of these methods adopted feedback control, and their performance is limited.…”

Section: Introductionmentioning

confidence: 99%

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Active Roll Stabilization With Disturbance Feedforward Control

Yim

2021

IEEE Access

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This paper presents a method to design a controller for active roll stabilization (ARS) with a disturbance feedforward control. To design the controller, a linear 1-DOF roll model is adopted. With the model, three feedback controllers, i.e., linear quadratic regulator (LQR), H and sliding mode controller (SMC), are designed. Feedforward controller with the lateral acceleration is designed with a discrete-time state-space equation to improve roll control performance. To estimate the roll angle and the lateral acceleration simultaneously with noisy roll rate measurement, a discrete-time Kalman filter (DTKF) is used. When applying DTKF for state and disturbance estimation, a recursive least square (RLS) is adopted to estimate the parameters of 1-DOF roll model. As an actuator for ARS, an active anti-roll bar (AARB) and a continuous damping control (CDC) are adopted. To verify the performance of the proposed controllers, simulation is conducted on the vehicle simulation package, CarSim . From simulation, it was verified that the proposed controllers can enhance the performance of active roll stabilization and that the effectiveness of CDC was investigated. INDEX TERMS active roll stabilization (ARS), disturbance feedforward control, discrete-time Kalman filter (DTKF), recursive least square (RLS), active anti-roll bar (AARB), continuous damping control (CDC)

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Section: A Vehicle Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Active Roll Stabilization With Disturbance Feedforward Control

Yim

2021

IEEE Access

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“…It is verified that the control system designed can settle the rolling vibration on a rough road more quickly than a vehicle model with normal suspension while reducing the steady roll angle during cornering. Besides, an electric ARB system has been developed as a technology for controlling vehicle roll angle performance by [14,15]. Moreover, Gosselin-Brisson et al designed an active anti-roll bar using a full state feedback optimal control strategy by using a linear quadratic regulator (LQR) method.…”

Section: Introductionmentioning

confidence: 99%

Ride and Handling Analysis for an Active Anti-Roll Bar: Case Study on Composite Nonlinear Control Strategy

Zamzuri¹,

Mazlan²,

Zulkarnain

2014

Int. J. Automot. Mech. Eng.

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This paper presents a comparison of ride and handling analysis for an active anti-roll bar system using various types of controller. Work using conventional and modern control approaches has been investigated by previous researches. This study further extends this work by investigating a particular modern control technique using a linear quadratic regulator, linear quadratic Gaussian and composite nonlinear feedback controller in designing the closed loop feedback for an anti-roll bar system control scheme. A simple linear quadratic regulator and a linear quadratic Gaussian are first investigated. An active anti-roll bar system has to balance the trade-off between ride comfort and handling performance. The new linear quadratic Gaussian composite nonlinear feedback (LQG-CNF) fusion control strategy is developed to improve the performances on vehicle ride comfort and handling for an active anti-roll bar system. The linear half car model is combined with a single track model with roll dynamics. The performance of the controllers is compared and the simulation results show that the proposed control strategy gives better performance in terms of vehicle ride comfort and handling.

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“…It is verified that the control system designed can settle the rolling vibration on the rough road more quickly than the vehicle model of a normal suspension while reducing the steady roll angle during cornering. Besides, an electric ARB system has been developed as a technology for controlling vehicle roll angle performance by [11,12]. Various sensors that detect the vehicle's running state, an active ARB that used electric motors and reduction gears to control roll, are included in the system.…”

Section: Introductionmentioning

confidence: 99%

Improving Vehicle Ride and Handling Using LQG CNF Fusion Control Strategy for an Active Antiroll Bar System

Zulkarnain

Zamzuri

Sam

et al. 2014

Abstract and Applied Analysis

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This paper analyses a comparison of performance for an active antiroll bar (ARB) system using two types of control strategy. First of all, the LQG control strategy is investigated and then a novel LQG CNF fusion control method is developed to improve the performances on vehicle ride and handling for an active antiroll bar system. However, the ARB system has to balance the trade-off between ride and handling performance, where the CNF consists of a linear feedback law and a nonlinear feedback law. Typically, the linear feedback is designed to yield a quick response at the initial stage, while the nonlinear feedback law is used to smooth out overshoots in the system output when it approaches the target reference. The half car model is combined with a linear single track model with roll dynamics which are used for the analysis and simulation of ride and handling. The performances of the control strategies are compared and the simulation results show the LQG CNF fusion improves the performances in vehicle ride and handling.

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Development of an Electric Active Stabilizer System Based on Robust Design

Cited by 15 publications

References 0 publications

Active Roll Stabilization With Disturbance Feedforward Control

Active Roll Stabilization With Disturbance Feedforward Control

Ride and Handling Analysis for an Active Anti-Roll Bar: Case Study on Composite Nonlinear Control Strategy

Improving Vehicle Ride and Handling Using LQG CNF Fusion Control Strategy for an Active Antiroll Bar System

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