Analysis of a Sensor Reduction in a Semi-Active Suspension System for a 4-Wheel Vehicle

2010 ◽  
Author(s):  
Cristiano Spelta ◽  
Diego Delvecchio ◽  
Sergio M. Savaresi ◽  
Gabriele Bonaccorso ◽  
Fabio Ghirardo
Keyword(s):  
Phase Shift ◽  
Suspension System ◽  
Control Law ◽  
Frequency Noise ◽  
Vertical Acceleration ◽  
Closed Loop System ◽  
Car Suspension ◽  
Four Corners ◽  
Single Sensor ◽  
Sensor Reduction

This paper is devoted to the application of a comfort-oriented suspension semi-active control system to a four wheel vehicle with a minimal sensor layout. To this aim an algorithm recently developed (the Mix-1-Sensor) has been adopted. The Mix-1-Sensor has been shown to be a quasi-optimal control law for a quarter car suspension system equipped with a single sensor. Therefore a sensor layout of four accelerometers is necessary. This paper shows that it is possible to estimate the vertical acceleration of the four corners by means of only three accelerometers. The estimation suffers from high frequency noise that can be managed by filtering. However this induces a phase-shift of the estimated signal. The closed loop system shows that no phase-shift is preferred since the noise is effectively compensated without a dramatic loss of performances.

A New Model for MacPherson Suspension System and Observation of Ride Characteristics and Its Optimal Control

2005 ◽  
Author(s):  
M. S. Fallah ◽  
S. Fardisi ◽  
M. Eghtesad
Keyword(s):  
Optimal Control ◽  
Angular Displacement ◽  
Suspension System ◽  
Control System Design ◽  
Control Law ◽  
Vertical Acceleration ◽  
Inertia Moment ◽  
New Model ◽  
Camber Angle ◽  
Unsprung Mass

In this paper a new model for the MacPherson suspension system and its optimal control are investigated. The focuses of the modeling were to add the rotational motion of the unsprung mass and considering physical characteristics of the spindle such as mass and inertia moment. The vertical acceleration of the sprung mass is measured, while the angular displacement of the control arm is estimated. According to this model the ride characteristics such as alterations of the camber angle, king-pin angle and track are displayed. This model is more general in the sense that it provides an extra degree of freedom in determining the plant model for control system design. Optimal control theory was employed to derive a control law for an active suspension system. The performance degradation with an active actuator is evaluated. Simulations are also provided.

Nonlinear Control of Semi-Active MacPherson Suspension System

2012 ◽  
Author(s):  
Olugbenga M. Anubi ◽  
Carl D. Crane
Keyword(s):  
Closed Loop ◽  
Control Design ◽  
Mr Damper ◽  
Suspension System ◽  
Time Domain Simulation ◽  
Closed Loop System ◽  
Output Feedback Controller ◽  
Space Frequency ◽  
Simulation Results ◽  
Active Damper

This paper presents the control design and analysis of a non-linear model of a MacPherson suspension system equipped with a magnetorheological (MR) damper. The model suspension considered incorporates the kinematics of the suspension linkages. An output feedback controller is developed using an ℒ2-gain analysis based on the concept of energy dissipation. The controller is effectively a smooth saturated PID. The performance of the closed-loop system is compared with a purely passive MacPherson suspension system and a semi-active damper, whose damping coefficient is tunned by a Skyhook-Acceleration Driven Damping (SH-ADD) method. Simulation results show that the developed controller outperforms the passive case at both the rattle space, tire hop frequencies and the SH-ADD at tire hop frequency while showing a close performance to the SH-ADD at the rattle space frequency. Time domain simulation results confirmed that the control strategy satisfies the dissipative constraint.

Research on vibration reduction of semi-active suspension system of quarter vehicle based on time-delayed feedback control with body acceleration

2021 ◽  
pp. 146134842110518
Author(s):  
Yong Guo ◽  
Chuanbo Ren
Keyword(s):  
Feedback Control ◽  
Delayed Feedback ◽  
Suspension System ◽  
Delayed Feedback Control ◽  
Vehicle Body ◽  
Vehicle Suspension ◽  
Vertical Acceleration ◽  
Control Parameters ◽  
Vehicle Suspension System ◽  
Time Delayed Feedback

In this paper, the mechanical model of two-degree-of-freedom vehicle semi-active suspension system based on time-delayed feedback control with vertical acceleration of the vehicle body was studied. With frequency-domain analysis method, the optimization of time-delayed feedback control parameters of vehicle suspension system in effective frequency band was studied, and a set of optimization method of time-delayed feedback control parameters based on “equivalent harmonic excitation” was proposed. The time-domain simulation results of vehicle suspension system show that compared with the passive control, the time-delayed feedback control based on the vertical acceleration of the vehicle body under the optimal time-delayed feedback control effectively broadens the vibration absorption bandwidth of the vehicle suspension system. The ride comfort and stability of the vehicle under random road excitation are significantly improved, which provides a theoretical basis for the selection of time-delayed feedback control strategy and the optimal design of time-delayed feedback control parameters of vehicle suspension system.

Fuzzy sliding mode based active disturbance rejection control for active suspension system

2019 ◽  
Vol 234 (2-3) ◽  
pp. 449-457
Author(s):  
Haoping Wang ◽  
Yeqing Lu ◽  
Yang Tian ◽  
Nicolai Christov
Keyword(s):  
Disturbance Rejection ◽  
Ride Comfort ◽  
Actuator Saturation ◽  
Sliding Mode ◽  
Suspension System ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Car Suspension ◽  
Disturbance Rejection Control ◽  
Fuzzy Sliding Mode

This article deals with the control problem of 7-degrees of freedom full-car suspension system which takes into account the spring-damper nonlinearities, unmodeled dynamics and external disturbances. The existing active disturbance rejection control uses an extended state observer to estimate the “total disturbance” and eliminate it with state error feedback. In this article, a new type of active disturbance rejection control is developed to improve the ride comfort of full car suspension systems taking into account the suspension nonlinearities and actuator saturation. The proposed controller combines active disturbance rejection control and fuzzy sliding mode control and is called Fuzzy Sliding Mode active disturbance rejection control. To validate the system mathematical model and analyze the controller performance, a virtual prototype is built in Adams. The simulation results demonstrate better performance of Fuzzy Sliding Mode active disturbance rejection control compared to the existing active disturbance rejection control.

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