Design and Vehicle Implementation of Preview Active Suspension Controllers

This paper is concerned with the modelling and vibration control problem for networked nonlinear vehicle active suspension (NNVAS) with actuator time delay. Inserting in‐vehicle communication network to active suspension, a novel model for NNVAS is established based on the Takagi‐Sugeno fuzzy fusion technology first. By introducing a transformation vector, NNVAS with actuator time delay is reformed as a delay‐free nonlinear system. Then, an approximation optimal vibration controller (AOVC) is proposed by using an iterative algorithm, which consists of suspension state item, a road disturbance state item, and a compensated item for nonlinear response. Dependant on the control performance in each iteration, the computability of proposed AOVC is realized. A reduced‐order observer is designed to solve the physical unrealizable problem of road disturbances. Finally, compared with the open‐loop system and H∞ control scheme without network setting, the capability of improving control performance under AOVC is illustrated.

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“…Based on (1), (2) and (3), the state space model of nonlinear vehicle active suspension can be described aṡx…”

Section: Dynamic Model Of Vehicle Active Suspensionmentioning

confidence: 99%

Approximation Optimal Vibration for Networked Nonlinear Vehicle Active Suspension with Actuator Time Delay

Han

Zhang

Tang

2017

Asian Journal of Control

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“…As an effective component of ground vehicle for active safety technology, many research efforts have been devoted to developing the technology of vehicle active suspensions in recent years from flexible structure design and control strategies to satisfy the different performance requirements [6,7]. Due to the contradiction among the above performance requirements, the developing control optimal algorithms have significantly contributed with small energy consumption as the core part of vehicle active suspension, such as linear quadratic optimal and risk-sensitive vibration control method [8], preview active vibration control method [9], and stochastic optimal active disturbance attenuation controller [10].…”

Section: Introductionmentioning

confidence: 99%

Optimal Disturbance Rejection with Zero Steady‐State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances

Zhong

Han

Yang

et al. 2018

Shock and Vibration

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The road disturbance rejection problem for vehicle active suspension involving the nonlinear characteristics is researched in this paper. A continuous-time state space of nonlinear vehicle active suspension is established first, in which the road disturbance is generated from the output of an introduced exosystem based on the ground displacement power spectral density. After that, based on the dynamics of road roughness and the internal model principle, a disturbance compensator with zero steady-state error is designed, which is related to the dynamic characteristics of road disturbance and independent of the control system model. By combining the vehicle active suspension system and the designed road disturbance compensator, an augmented system is obtained without explicit indication of road disturbance. Then by solving a series of decoupled nonlinear two-point-boundaryvalue problem and employing an iterative computing algorithm, an approximation optimal road disturbance rejection controller is obtained. Finally, the simulation results illustrate that the proposed approximation optimal road disturbance rejection controller can reduce the values of sprung mass acceleration, tire deflection, suspension deflection, and energy consumption and compensate the nonlinear behaviors of vehicle active suspension effectively.

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“…[2006]), Linear Quadratic Gaussian (Sohn, et. el, [2004]), and Model Predictive Control (Göhrle, et. al., [2013]) are the most optimal controller investigated for vehicle suspension systems.…”

Section: Introductionmentioning

confidence: 99%