Dynamics of Unsymmetric Suspension Trucks With Semiactive Control

2021 ◽  
pp. 480-496
Author(s):  
Y. Suda ◽  
R. J. Anderson ◽  
K. Yamada
Keyword(s):  
Semiactive Control

scholarly journals Experimental Issues in Testing a Semiactive Technique to Control Earthquake Induced Vibration

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Nicola Caterino ◽  
Mariacristina Spizzuoco ◽  
Julian M. Londoño ◽  
Antonio Occhiuzzi
Keyword(s):  
Large Scale ◽  
Experimental Testing ◽  
Practical Experience ◽  
Structural Testing ◽  
Frame Structure ◽  
Semiactive Control ◽  
Electrical Currents ◽  
Wide Range ◽  
And Control ◽  
Steel Frame Structure

This work focuses on the issues to deal with when approaching experimental testing of structures equipped with semiactive control (SA) systems. It starts from practical experience authors gained in a recent wide campaign on a large scale steel frame structure provided with a control system based on magnetorheological dampers. The latter are special devices able to achieve a wide range of physical behaviours using low-power electrical currents. Experimental activities involving the use of controllable devices require special attention in solving specific aspects that characterize each of the three phases of the SA control loop: acquisition, processing, and command. Most of them are uncommon to any other type of structural testing. This paper emphasizes the importance of the experimental assessment of SA systems and shows how many problematic issues likely to happen in real applications are also present when testing these systems experimentally. This paper highlights several problematic aspects and illustrates how they can be addressed in order to achieve a more realistic evaluation of the effectiveness of SA control solutions. Undesired and unavoidable effects like delays and control malfunction are also remarked. A discussion on the way to reduce their incidence is also offered.

scholarly journals Research on Semiactive Control of Civil Engineering Structure Based on Neural Network

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Longji Jian ◽  
Feifei Song ◽  
Yuansong Huang
Keyword(s):  
Neural Network ◽  
Civil Engineering ◽  
Good Control ◽  
Response Strength ◽  
Control Model ◽  
Yield Response ◽  
Semiactive Control ◽  
Analysis Model ◽  
Engineering Structure ◽  
Civil Engineering Structure

In order to improve the strength of civil engineering structure, a semiactive control model of civil engineering structure based on neural network is proposed, and the control constraint parameter model of semiactive regulation of civil engineering structure is constructed. Combined with the controlled object model, the semiactive control model of civil engineering structure is designed, the mechanical analysis model of civil engineering structure is established, and the semiactive regulation of civil engineering structure is carried out by the small disturbance suppression method. The semiactive adjustment of civil engineering structure is carried out by using the structural strength fusion tracking method. Taking the internal strength and shock yield response of civil engineering structure as constraint parameters, the semiactive control of civil engineering structure is carried out and PID neural network is used to optimize the control system. The simulation results show that the semiactive control of civil engineering structure with this method has good stability, and the strength and yield response strength of civil engineering structure are improved, and it has good control efficiency.

Semiactive Control of Floor Systems

2009 ◽  
Author(s):  
A. Ebrahimpour ◽  
W.N. Patten ◽  
R.L. Sack ◽  
A. Hamam ◽  
H.J. Shui
Keyword(s):  
Semiactive Control ◽  
Floor Systems

scholarly journals HIS-Based Semiactive Suspension Dual-Frequency-Range Switching Control to Improve Ride Comfort and Antiroll Performance

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Xiaojian Wu ◽  
Xiang Qiu ◽  
Bing Zhou ◽  
Juhua Huang ◽  
Tingfang Zhang
Keyword(s):  
Ride Comfort ◽  
Control Method ◽  
Excitation Frequency ◽  
Switching Control ◽  
Parameter Sensitivity ◽  
The Body ◽  
Semiactive Control ◽  
Frequency Bandwidth ◽  
Dual Frequency ◽  
Frequency Range

The parameter sensitivity analysis of a hydraulically interconnected suspension (HIS) system shows that the sensitivity of the vibration responses in the bounce and roll modes to the hydraulic parameters are complementary. A novel HIS-based semiactive control method was thereby proposed to improve ride comfort and antiroll performance. In addition, the classic sky-hook max-min damping switched strategy provides significant benefits around the body resonance, but otherwise performs similarly to, or sometimes even worse than, passive suspension. Therefore, a dual-frequency-range switching strategy, which has optimal max-min damping in both frequency ranges, was developed for improving the ride comfort in a wider frequency bandwidth. In this study, a 9-DOF HIS system dynamics model was established, and the hydraulically interconnected subsystem model was validated experimentally. Subsequently, the elastic and damping characteristics of the hydraulically interconnected subsystem, as well as the parameter sensitivity in bounce mode and roll mode, were analyzed. Next, the sensitive parameters were optimized under sinusoidal excitation at various frequencies, and a frequency-range selector used to determine the excitation frequency range and adjust the shock absorber damping was designed. Finally, simulations in the frequency domain and time domain show that the proposed HIS-based semiactive dual-frequency-range switching control suspension improves the ride comfort in a wider frequency bandwidth and enhances the antiroll performance in the transient and steady steering process.

scholarly journals Influence of response time of magnetorheological valve in Skyhook controlled three-parameter damping system

2018 ◽  
Vol 10 (11) ◽  
pp. 168781401881119 ◽  
Author(s):  
Zbyněk Strecker ◽  
Jakub Roupec ◽  
Ivan Mazůrek ◽  
Ondřej Macháček ◽  
Michal Kubík
Keyword(s):  
Response Time ◽  
Control Algorithm ◽  
Vibration Isolation ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Semiactive Control ◽  
Control Loop ◽  
Space Industry ◽  
Magnetorheological Valve ◽  
Suspension Performance

A three-parameter suspension system is often used for vibration isolation of sensitive devices especially in a space industry. This article describes the three-parameter suspension system with magnetorheological valve controlled by Skyhook algorithm. Simulations of such systems showed promising results. They, however, showed that the suspension performance is strongly influenced by magnetorheological valve response time. Results from simulations proved that the semiactive control of such system with response time of magnetorheological damper up to 4 ms outperforms any passive setting. The simulations were verified by an experiment on suspension system with magnetorheological valve with response time between 3.5 and 4.1 ms controlled by a Skyhook algorithm. Although the control algorithm was slightly modified in order to prevent instabilities of control loop caused by signal noise, the results from the experiment showed the same trends like the simulations.

Cost Effective Skyhook Control for Vibration Isolation Systems

2005 ◽  
Author(s):  
Xubin Song
Keyword(s):  
Vibration Isolation ◽  
Control Policy ◽  
Cost Effective ◽  
Relative Displacement ◽  
Semiactive Control ◽  
Mass System ◽  
Control Approach ◽  
Car Suspension ◽  
Ride Control ◽  
Isolation Systems

Traditionally a skyhook control, widely applied to vibration control, requires two sensors to measure sprung mass acceleration and relative displacement, respectively. For the implementation, these two measurement signals are converted into velocities and then the damping control signal is decided and sent to controllable HH/SS dampers. In this paper, a one sensor based skyhook control policy is developed. The proposed control policy just needs one measurement signal, sprung mass acceleration, to estimate these two velocities for semiactive control. The new strategy is explained through a typical spring-mass system of a quarter-car model. But the effectiveness of the new control approach for vibration isolation is validated with ride control through simulation study of a 7-DOF full car suspension system with application of magneto-rheological (MR) dampers.

Proportional-plus-integral semiactive control using magnetorheological dampers

2011 ◽  
Vol 330 (10) ◽  
pp. 2185-2200 ◽  
Author(s):  
N. Aguirre ◽  
F. Ikhouane ◽  
J. Rodellar
Keyword(s):  
Semiactive Control ◽  
Magnetorheological Dampers
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