Self-Operating On-Off Type Semi-Active Damper and its Performance Test

13th Biennial Conference on Mechanical Vibration and Noise: Rotating Machinery and Vehicle Dynamics ◽

10.1115/detc1991-0259 ◽

1991 ◽

Author(s):

Hyeong-keun Kim ◽

Nak Hoon Sung ◽

Youn-sik Park

Keyword(s):

Performance Test ◽

Active Suspension ◽

Logic Circuits ◽

Suspension System ◽

The Self ◽

Control Motion ◽

Valve Motion ◽

Active Damper ◽

Good Agreement ◽

Suspension Performance

Abstract The semi-active damper idea is not new. Many previous researchers showed that a semi-active damper and an on-off type semi-active damper can each bring about almost die equivalent suspension performance as that of an active suspension system. In this work, a self-operating on-off type semi-active damper idea is devised. The advantage of the self-operating on-off type semi-active damper over the conventional semi-active damper or on-off type semi-active damper is its mechanical simplicity. The self-operating semi-active damper does not need any sensors and logic circuits for on-off control motion and brings about an identical suspension performance. In order to prove the practical applicability of the damper, two prototype dampers are designed, built and tested. As a result, the tested prototype damper shows very good agreement not only with the peak damping forces, but also with the timely self-operating on-off valve motion.

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FxLMS Method for Suppressing In-Wheel Switched Reluctance Motor Vertical Force Based on Vehicle Active Suspension System

Journal of Control Science and Engineering ◽

10.1155/2014/486140 ◽

2014 ◽

Vol 2014 ◽

pp. 1-16 ◽

Cited By ~ 3

Author(s):

Yan-yang Wang ◽

Yi-nong Li ◽

Wei Sun ◽

Chao Yang ◽

Guang-hui Xu

Keyword(s):

Vertical Component ◽

Active Suspension ◽

Radial Force ◽

Suspension System ◽

Vertical Force ◽

Least Mean Square ◽

Active Suspensions ◽

Switched Reluctance ◽

Resonance Frequencies ◽

Suspension Performance

The vibration of SRM obtains less attention for in-wheel motor applications according to the present research works. In this paper, the vertical component of SRM unbalanced radial force, which is named as SRM vertical force, is taken into account in suspension performance for in-wheel motor driven electric vehicles (IWM-EV). The analysis results suggest that SRM vertical force has a great effect on suspension performance. The direct cause for this phenomenon is that SRM vertical force is directly exerted on the wheel, which will result in great variation in tyre dynamic load and the tyre will easily jump off the ground. Furthermore, the frequency of SRM vertical force is broad which covers the suspension resonance frequencies. So it is easy to arouse suspension resonance and greatly damage suspension performance. Aiming at the new problem, FxLMS (filtered-X least mean square) controller is proposed to improve suspension performance. The FxLMS controller is based on active suspension system which can generate the controllable force to suppress the vibration caused by SRM vertical force. The conclusion shows that it is effective to take advantage of active suspensions to reduce the effect of SRM vertical force on suspension performance.

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The Simulation of Semi-Active Suspension System Based on RBF Neural Network Sliding Mode Control

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.229-231.1763 ◽

2012 ◽

Vol 229-231 ◽

pp. 1763-1767

Author(s):

Hua Zhu

Keyword(s):

Neural Network ◽

Sliding Mode ◽

Rbf Neural Network ◽

Control Object ◽

Active Suspension ◽

Random Excitation ◽

Suspension System ◽

Performance Parameters ◽

System A ◽

Suspension Performance

Focusing on the nonlinear and uncertain characteristics of suspension system,a 2-DOF vehicle is regarded as the control object, sliding mode theory was used to design a sliding mode controller for the 2 DOFs vehicle semi-active suspension system,then RBF neural network was employed to optimize the sliding mode controller.The control effects of three key performance parameters of suspension, the acceleration of car body, the dynamic travel of suspension and the dynamic deflection of tire are studied under random excitation conditions.The results indicate that in comparison with the passive suspension，sliding mode semi-active control based on RBF neural network can improve suspension performance effectively.

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Controller Design and Road-Friendly Suspension Optimization: Half Vehicle Model

Volume 2: 16th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC) ◽

10.1115/detc2020-22051 ◽

2020 ◽

Author(s):

Vikas Prasad ◽

P. Seshu ◽

Dnyanesh N. Pawaskar

Keyword(s):

Controller Design ◽

Active Suspension ◽

Suspension System ◽

Performance Criteria ◽

Control Law ◽

Vehicle Model ◽

Nsga Ii ◽

Suspension Systems ◽

Active Suspension Systems ◽

Active Damper

Abstract In this paper, the design of the suspension system for Heavy Goods Vehicles (HGV) is proposed, which deals with two performance criteria simultaneously. A semi-tractor trailer is used in present work and modeled with half vehicle model. Four types of linear, as well as non-linear, passive and semi-active suspension systems, are presented in this work. The control law is proposed for the semi-active suspension system using a PID controller to remove the need for passive damper along with active damper. Two objective optimization is performed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II). Road Damage (RD) is taken as the first objective along with Goods Damage (GD) as the second objective. All problems are minimization problems. It is concluded based on Pareto front comparison of different suspension systems that the semi-active suspension system with the proposed control law performs well for HGV.

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Magnetorheological Semi-Active Suspension System for a Tracked Vehicle

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.482.150 ◽

2013 ◽

Vol 482 ◽

pp. 150-154 ◽

Cited By ~ 1

Author(s):

Zhi Zhao Peng ◽

Jin Qiu Zhang ◽

Lei Zhang ◽

Da Shan Huang

Keyword(s):

Frequency Domain ◽

Magnetic Circuit ◽

High Reliability ◽

Active Suspension ◽

Suspension System ◽

Magnetorheological Damper ◽

Tracked Vehicle ◽

Innovative Strategy ◽

Good Consistency ◽

Suspension Performance

A semi-active suspension system is researched for a heavy tracked vehicle to improve its suspension performance. This is achieved through a vane magnetorheological damper (VMRD) with special magnetic circuit which may attenuate the leak of MRF from assembly gap. A innovative strategy named frequency domain control (FDC) is proposed based on a conclusion that, in the frequency domain,the influence of damping coefficient to transmissibility for different suspension performance indicators is in good consistency. FDC only requires accelerometers mounted on sprung mass, meaning low price and high reliability that the tracked vehicle requires. The experiment indicates the designed semi-active suspension system based on VMRFD has an excellent vibration suppressing ability.

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A Novel Fuzzy Controller to Improve Desired Suspension Performance

Volume 5: 6th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B, and C ◽

10.1115/detc2007-35081 ◽

2007 ◽

Author(s):

Mohammad Biglarbegian ◽

William Melek ◽

Farid Golnaraghi

Keyword(s):

Degrees Of Freedom ◽

Ride Comfort ◽

Fuzzy Controller ◽

Active Suspension ◽

Suspension System ◽

Suspension Systems ◽

System A ◽

Active Suspension Systems ◽

Vehicle Suspension System ◽

Suspension Performance

Semi-active suspension systems allow for adjusting the vehicle shock damping and hence improved suspension performance can be achieved over passive methods. This paper presents the design of a novel fuzzy control structure to concurrently improve ride comfort and road handling of vehicles with semi-active suspension system. A full car model with seven degrees of freedom is adopted that includes the vertical, roll, and pitch motions as well as the vertical motions of each wheel. Four decentralized fuzzy controllers are developed and applied to each individual damper in the vehicle suspension system. Mamdani’s method is applied to infer the damping coefficient output from the fuzzy controller. To evaluate the performance of the proposed controller, numerical analyses were carried out on a real road bump. Moreover, results were compared with well-known and widely used controllers such as Skyhook. It is shown that the proposed fuzzy controller is capable of achieving enhanced ride comfort and road handling over other widely used control methods.

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