Design, modeling, and control of a magnetorheological rotary damper for scissor seat suspension

2020 ◽  
Vol 234 (9) ◽  
pp. 2402-2416
Author(s):  
Jianqiang Yu ◽  
Xiaomin Dong ◽  
Xuhong Wang ◽  
Junli Li ◽  
Biao Li
Keyword(s):  
Experimental Tests ◽  
Nonlinear Damping ◽  
Magnetorheological Damper ◽  
Hysteretic Model ◽  
Active System ◽  
Backbone Curve ◽  
Modeling And Control ◽  
Seat Suspension ◽  
Damping Characteristics ◽  
And Control

This research investigates the design, modeling, and control of an improved magnetorheological rotary damper for seat suspension. A magnetorheological damper with optimized flux path is developed to improve the distribution of magnetic field. Its dynamic damping characteristics are tested by MTS machine under sinusoidal excitations. To describe the nonlinear damping characteristics of magnetorheological damper, a hysteretic model based on backbone curve is selected by comparing with other models. To verify the feasibility of seat suspension with the proposed magnetorheological damper, the simulated analysis and experimental tests are conducted. A dynamic model of scissor seat suspension with rotary damper is constructed and simplified. The performances of semi-active system show that the seat suspension with the proposed damper can reduce vibration efficiently.

A novel scissor-type magnetorheological seat suspension system with self-sustainability

2018 ◽  
Vol 30 (5) ◽  
pp. 665-676 ◽  
Author(s):  
Jianqiang Yu ◽  
Xiaomin Dong ◽  
Zonglun Zhang ◽  
Pinggen Chen
Keyword(s):  
Control Algorithm ◽  
Balance Control ◽  
Experimental Tests ◽  
The Self ◽  
Magnetorheological Damper ◽  
Damping Force ◽  
Seat Suspension ◽  
Electrical Part ◽  
Self Powered ◽  
And Control

A novel scissor-type magnetorheological seat suspension with self-sustainability which integrated self-powered, self-sensing, and self-adaptability is proposed in this study. The adaptive rotary damping system consisted of the rotary magnetorheological damper, and rotary permanent magnet direct current generator is designed to realize the self-sustainability. Effects of damping force and isolation object mass are analyzed for further designing and testing based on the dynamic model. The rotary magnetorheological damper and the electrical part are designed and analyzed theoretically. Series of experimental tests are conducted to verify the feasibility and control performances. The experimental results show that the on–off balance control algorithm based on the self-sensing signals can improve the comfort than the directly and supply-with-rectifier control modes.

scholarly journals Dynamics of an Autoparametric Pendulum-Like System with a Nonlinear Semiactive Suspension

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Krzysztof Kecik ◽  
Jerzy Warminski
Keyword(s):  
Vibration Analysis ◽  
Dynamic Behaviour ◽  
Resonance Region ◽  
Nonlinear Damping ◽  
Harmonic Excitation ◽  
Magnetorheological Damper ◽  
Nonlinear Spring ◽  
Dynamics And Control ◽  
And Control ◽  
Experimental Rig

This paper presents vibration analysis of an autoparametric pendulum-like mechanism subjected to harmonic excitation. To improve dynamics and control motions, a new suspension composed of a semiactive magnetorheological damper and a nonlinear spring is applied. The influence of essential parameters such as the nonlinear damping or stiffness on vibration, near the main parametric resonance region, are carried out numerically and next verified experimentally in a special experimental rig. Results show that the magnetorheological damper, together with the nonlinear spring can be efficiently used to change the dynamic behaviour of the system. Furthermore, the nonlinear elements applied in the suspension of the autoparametric system allow to reduce the unstable areas and chaotic or rotating motion of the pendulum.

H∞ control for a semi-active scissors linkage seat suspension with magnetorheological damper

2018 ◽  
Vol 30 (5) ◽  
pp. 708-721 ◽  
Author(s):  
Xiu-Mei Du ◽  
Miao Yu ◽  
Jie Fu ◽  
You-Xiang Peng ◽  
Hui-Feng Shi ◽  
...  
Keyword(s):  
State Feedback ◽  
Low Frequency ◽  
High Amplitude ◽  
Magnetorheological Damper ◽  
Seat Suspension ◽  
Damping Characteristics ◽  
The Neural Network ◽  
Inverse Models ◽  
Stiffness And Damping ◽  
Uncontrolled System

In this article, a robust state-feedback H∞ control for semi-active scissors linkage seat suspension with magnetorheological damper is investigated to reduce low-frequency and high-amplitude vibration, leading to health disorders in drivers or passengers. First, the stiffness and damping characteristics of the semi-active scissors linkage seat suspension are analyzed and a simplified model of the semi-active scissors linkage seat suspension is introduced. Then, the forward and inverse models of magnetorheological damper are described by the neural network method. Furthermore, the robust state-feedback H∞ control is established by considering the system uncertainties. The proposed approach is finally validated by experiment on a test rig under different sinusoidal excitations and load masses. Experimental results show that the human vibration is reduced up to 47.66% compared with the uncontrolled system.

scholarly journals Selection and Validation of Mathematical Models of Power Converters using Rapid Modeling and Control Prototyping Methods

2018 ◽  
Vol 8 (3) ◽  
pp. 1551 ◽  
Author(s):  
Fredy Edimer Hoyos ◽  
John Edwin Candelo ◽  
John Alexander Taborda
Keyword(s):  
Power Converters ◽  
Experimental Tests ◽  
Power Converter ◽  
Buck Converter ◽  
Experimental Results ◽  
Mathematical Representation ◽  
Modeling And Control ◽  
Rapid Control Prototyping ◽  
The Stability ◽  
And Control

This paper presents a methodology based on two interrelated rapid prototyping processes in order to find the best correspondence between theoretical, simulated, and experimental results of a power converter controlled by a digital PWM. The method supplements rapid control prototyping (RCP) with effective math tools to quickly select and validate models of a controlled system. We show stability analysis of the classical and two modified buck converter models controlled by zero average dynamics (ZAD) and fixed-point induction control (FPIC). The methodology consists of obtaining the mathematical representation of power converters with the controllers and the Lyapunov Exponents (LEs). Besides, the theoretical results are compared with the simulated and experimental results by means of one- and two-parameter bifurcation diagrams. The responses of the three models are compared by changing the parameter K_s of the ZAD and the parameter N of the FPIC. The results show that the stability zones, periodic orbits, periodic bands, and chaos are obtained for the three models, finding more similarities between theoretical, simulated, and experimental tests with the third model of the buck converter with ZAD and FPIC as it considers more parameters related to the losses in different elements of the system. Additionally, the intervals of the chaos are obtained by using the LEs and validated by numerical and experimental tests

Nonlinear Modeling and Control of a Dual-Stage Hybrid Ride-by-Wire Throttle Body for a Sport Motorbike

2009 ◽  
Author(s):  
Matteo Corno ◽  
Giulio Panzani ◽  
Giorgio Maggio ◽  
Paolo Mazzocchi ◽  
Andrea Goggi ◽  
...  
Keyword(s):  
Controller Design ◽  
Nonlinear Modeling ◽  
Linear Part ◽  
Experimental Tests ◽  
Nonlinear Phenomenon ◽  
Electronic Throttle ◽  
Modeling And Control ◽  
Dual Stage ◽  
Servo Controller ◽  
And Control

This paper addresses the dynamics identification and servo-controller design for a dual-stage electronic throttle body (ETB) designed for ride-by-wire applications in racing motorcycles. The dynamics of the system is identified and a model of the friction—which is the main nonlinear phenomenon affecting the control of the mechanism—is identified from experimental data. The identified model is used to design a controller composed of a linear part and a nonlinear friction compensator. Experimental tests are employed to validate the controller design and comparison with a linear controller is carried out in order to quantify the advantages brought by the friction compensation.

Modeling and Control for Plant Dynamics Based on Reinforcement Learning

2009 ◽  
Vol 129 (4) ◽  
pp. 363-367
Author(s):  
Tomoyuki Maeda ◽  
Makishi Nakayama ◽  
Hiroshi Narazaki ◽  
Akira Kitamura
Keyword(s):  
Reinforcement Learning ◽  
Modeling And Control ◽  
Plant Dynamics ◽  
And Control
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