Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Pang, Hui; Fu, Weinong; Liu, Kai

doi:10.3233/ifs-151954

Cited by 26 publications

(18 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The random road disturbance can also be employed to carry out the comparative simulation, and it is often assumed as a vibration signal that is consistent and typically specified by

\overset{q}{true} ((), t) = - 2 π f_{0} q ((), t) + 2 π n_{0} ω ((), t) \sqrt{G_{q} ((), n_{0}) v},

where f 0 is the lower cut‐off frequency of road profile, n 0 is the reference spatial frequency with a constant value of n 0 = 0.1(1/m), G q ( n 0 ) is the road roughness coefficient, ω ( t ) is a Gauss white noise of unit intensity. In this case, we choose G q ( n 0 ) = 64 × 10 −6 m 3 as B‐class road, and v = 72 (km/h).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive backstepping‐based control design for uncertain nonlinear active suspension system with input delay

Pang

Yang

et al. 2019

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

Summary This paper addresses the control problem of adaptive backstepping control for a class of nonlinear active suspension systems considering the model uncertainties and actuator input delays and presents a novel adaptive backstepping‐based controller design method. Based on the established nonlinear active suspension model, a projector operator–based adaptive control law is first developed to estimate the uncertain sprung‐mass online, and then the desirable controller design and stability analysis are conducted by combining backstepping technique and Lyapunov stability theory, which can not only deal with the actuator input delay but also achieve better dynamics performances and safety constraints requirements of the closed‐loop control system. Furthermore, the relationship between the input delay and the state variables of this vehicle suspension system is derived to present a simple and effective method of calculating the critical input delay. Finally, a numerical simulation investigation is provided to illustrate the effectiveness of the proposed controller.

show abstract

“…The random road disturbance can also be employed to carry out the comparative simulation, and it is often assumed as a vibration signal that is consistent and typically specified by

\overset{q}{true} ((), t) = - 2 π f_{0} q ((), t) + 2 π n_{0} ω ((), t) \sqrt{G_{q} ((), n_{0}) v},

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…The random road disturbance can also be employed to carry out the comparative simulation, and it is often assumed as a vibration signal that is consistent and typically specified by 42 . q (t) = −2 0 q (t) + 2 n 0 (t)…”

Section: Performance Analysis Of the Controller Under Random Roadmentioning

confidence: 99%

Adaptive backstepping‐based control design for uncertain nonlinear active suspension system with input delay

Pang

Yang

et al. 2019

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

show abstract

“…The random road excitation was adopted as the first road disturbance input to validate the designed fault-tolerant controller, which was assumed as a vibration signal that is consistent and typically specified as a white noise process given by [34]:…”

Section: Random Road Responsementioning

confidence: 99%

An Observer-Based Active Fault Tolerant Controller for Vehicle Suspension System

2018

Self Cite

View full text Add to dashboard Cite

This paper proposes an observer-based active fault-tolerant controller for a half-vehicle active suspension system subjected to the actuator fault as the nonzero offset fault. By constructing the augmented fault suspension system model, an H∞ weighted output feedback controller was developed to improve the vehicle dynamics performances under a fault-free condition. Moreover, a robust observer was designed to make an accurate estimation of the fault information with the auxiliary diagnosis system and further to develop an H∞ fault compensation controller, such that the closed-loop control system can eliminate the negative effects of the actuator faults on vehicle suspension performances. Finally, a numerical simulation investigation was provided to verify the effectiveness of the proposed controller under the random and bump road disturbances.

show abstract

“…The controlled suspension system is now widely applied such as semi-active suspension [6,7], and active suspension [8,9]. Chen [6] proposed a new method on design and stability analysis of semi-active suspension fuzzy control system.…”

Section: Introductionmentioning

confidence: 99%

“…The result of experiment and simulation shows that fuzzy control system of semi-active suspension is effective and stable and improves the ride performance. Pang [7] studied the problem of stability analysis and fuzzy-smith compensation control for semi-active suspension systems with time delay. Based on the Lyapunov stability analysis, the necessary and sufficient condition of the critical time delay for the semi-active suspension is derived, and the numerical computation method of solving the asymptotic stability area for the suspension system is given.…”

Section: Introductionmentioning

confidence: 99%

Improvement of ride performance with an active suspension based on fuzzy logic control

Nan¹,

Shi²,

Fang³

2016

J. vibroeng.

View full text Add to dashboard Cite

The physiological and psychological effect of vehicle vibrations on passengers is still a challenging problem. Therefore, the passenger ride comfort, which depends on a combination of vehicle displacement (heave) and angular displacement (pitch), has been one of the major issues of vehicle design. This paper proposes a fuzzy logic control (FLC) strategy for active vehicle suspension system which is utilized to generate counter-force to isolate vibration from the rough ground. A four degree-of-freedom (DOF) half car mathematical model is firstly presented. And a "decoupling transformation" is applied to the translation and pitch motion. The hydraulic actuator is then introduced as well. Last the ADMAS control module is used to render co-simulation between ADAMS and MATLAB to verify efficiency of FLC and decoupling transformation. Compared with passive suspension system, it is indicated that the proposed active suspension system is very effective in reducing peak values of vehicle body accelerations, especially within the most sensitive frequency range of human response. The root mean square of vehicle vertical and pitch angle accelerations is reduced. Therefore, the ride comfort is improved.

show abstract

Stability analysis and fuzzy smith compensation control for semi-active suspension systems with time delay

Cited by 26 publications

References 31 publications

Adaptive backstepping‐based control design for uncertain nonlinear active suspension system with input delay

Adaptive backstepping‐based control design for uncertain nonlinear active suspension system with input delay

An Observer-Based Active Fault Tolerant Controller for Vehicle Suspension System

Improvement of ride performance with an active suspension based on fuzzy logic control

Contact Info

Product

Resources

About