scholarly journals A Systematic Literature Review of Various Control Techniques for Active Seat Suspension Systems

2020 ◽  
Vol 10 (3) ◽  
pp. 1148 ◽  
Author(s):  
Mohammed Al-Ashmori ◽  
Xu Wang

Drivers of heavy trucks are exposed to large amounts of vibration which can lead to serious health risks. Many suspension systems/methods can be used to isolate these transmitted vibrations, such as vehicle suspension systems, cabin suspension systems and seating suspension systems. The central idea of the work is to identify the research gaps and raise our future research questions in this specific area. The novelty of this paper is proposing a model predictive controller for active vibration control of seating suspension systems. A systematic literature review of the existing work of the vibration control of seating suspension systems has been conducted. Various control techniques that are used in the seating suspension systems have been summarized and evaluated. This paper focusses on the biodynamic model of the driver and seat for the first step needed in the design of the seating suspension system. Then, it illustrates the different types of the system vibration controls and their performance evaluation methods. At the end, the paper details several active seating suspension systems including their actuation system structures and control algorithms which are used in the heavy vehicle trucks.

1987 ◽  
Author(s):  
ZORAN MARTINOVIC ◽  
RAPHAEL HAFTKA ◽  
WILLIAM HALLAUER, JR. ◽  
GEORGE SCHAMEL, II

2019 ◽  
Vol 9 (16) ◽  
pp. 3326 ◽  
Author(s):  
Zhao ◽  
Wang

As a major device for reducing vibration and protecting passengers, the low-frequency vibration control performance of commercial vehicle seating systems has become an attractive research topic in recent years. This article reviews the recent developments in active seat suspensions for vehicles. The features of active seat suspension actuators and the related control algorithms are described and discussed in detail. In addition, the vibration control and reduction performance of active seat suspension systems are also reviewed. The article also discusses the prospects of the application of machine learning, including artificial neural network (ANN) control algorithms, in the development of active seat suspension systems for vibration control.


2001 ◽  
Author(s):  
Yisheng Zhang ◽  
Andrew Alleyne

Abstract This paper presents a novel reformulation of the standard active vibration control problem for large systems to take advantage of the natural dynamics of a particular type of actuator: the electrohydraulic actuator. The standard linear vibration control problem set-up is followed by details of the limitations to this standard approach for electrohydraulic systems. This root of the problems lies in the attempt to utilize the electrohydraulic actuation system to provide a particular force. Previous work (Alleyne & Liu, 1999) has shown the inherent limitations to force tracking for these systems. To circumvent the limitations, the problem is reformulated as a velocity tracking one, which lends itself naturally to the dynamics of electrohydraulic systems. Subsequently, a SISO controller can be readily designed for the velocity tracking problem using standard controller design tools. Although the controller design is relatively standard, experimental results are given which demonstrate the efficacy of the problem reformulation.


2004 ◽  
Vol 11 (3-4) ◽  
pp. 187-197
Author(s):  
M. Rinchi ◽  
E. Gambini

Active control of vibrations in mechanical systems has recently benefited of the remarkable development of robust control techniques. These control techniques are able to guarantee performances in spite of unavoidable modeling errors. They have been successfully codified and implemented for vibrating structures whose uncertain parameters could be assumed to be time-invariant. Unfortunately a wide class of mechanical systems, such as machine tools with carriage motion realized by a ball-screw, are characterized by time varying modal parameters. The focus of this paper is on modeling and controlling the vibrations of such systems. A test rig for active vibration control is presented. An analytical model of the test rig is synthesized starting by design data. Through experimental modal analysis, parametric identification and updating procedures, the model has been refined and a control system has been synthesized.


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