Simulation and Test Research of Tracked Vehicle Ride Comfort

2019 ◽  
Author(s):  
Ming Ma ◽  
Zhiqi Du ◽  
Zhanhua Yang ◽  
Yang Zhang ◽  
Chunhui Zhao ◽  
...  
Keyword(s):  
Ride Comfort ◽  
Tracked Vehicle

scholarly journals Applications of Approximate Optimal Control to Nonlinear Systems of Tracked Vehicle Suspensions

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Yan-Jun Liang ◽  
You-Jun Lu ◽  
De-Xin Gao ◽  
Zhong-Sheng Wang
Keyword(s):  
Optimal Control ◽  
Vibration Control ◽  
Ride Comfort ◽  
Nonlinear Dynamic System ◽  
Active Suspension ◽  
Nonlinear Damping ◽  
Tracked Vehicle ◽  
Control Approach ◽  
Vehicle Suspensions ◽  
Suspension Systems

AbstractTechnique of approximate optimal vibration control and simulation for vehicle active suspension systems are developed. Considered the nonlinear damping of springs, mechanical model and a nonlinear dynamic system for a class of tracked vehicle suspension vibration control are established and the corresponding system of state space form is described. To prolong the working life of suspension system and improve ride comfort, based on the active suspension vibration control devices and using optimal control approach, an approximate optimal vibration controller is designed, and an algorithm is presented for the vibration controller. Numerical simulation results illustrate the effectiveness of the proposed technique.

Simulation of Ride Comfort of Tracked Vehicle Based on Road Random Excitation

2012 ◽  
Vol 479-481 ◽  
pp. 93-97 ◽  
Author(s):  
Pi Jing Liu ◽  
Liang Hou ◽  
Wen Guang Lin ◽  
Xiu Yi Yu ◽  
Wei Huang
Keyword(s):  
White Noise ◽  
Theoretical Foundation ◽  
Ride Comfort ◽  
Simulation Analysis ◽  
Random Excitation ◽  
Tracked Vehicle ◽  
Road Roughness ◽  
Simulation Based ◽  
Set Up ◽  
Vertical Jumps

By simplifying the triangular tracked engineer vehicle into dynamic model of half-tracked vehicle with five freedom degrees which includes four vertical jumps and one rotation, a corresponding dynamic differential equation is set up to each degree of freedom. A method of road roughness simulation, based on the time series of White Noise, is also represented and then verified. The simulation analysis of the tracked vehicle ride comfort is built on MATLAB/SIMULINK, based on the incentive signal of an imitated road. The simulation results show that the method that White Noise generated road roughness is applicable and prove efficient in the ride comfort research of the triangular tracked engineer vehicle. Thus a theoretical foundation is established for the optimization for ride comfort of the triangular tracked engineer vehicle.

scholarly journals Comfort Level Refinement of Military Tracked Vehicle Crew through Optimal Control Study

2018 ◽  
Vol 68 (3) ◽  
pp. 265
Author(s):  
N. V. Ramamurthy ◽  
B. K. Vinayagam ◽  
J. Roopchand
Keyword(s):  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Controller Design ◽  
Research Work ◽  
Comfort Level ◽  
Lumped Parameter Model ◽  
Tracked Vehicle ◽  
Machine Model ◽  
Seat Suspension ◽  
Suspension Model

Military tracked vehicle and crew are modelled together in this paper as integrated man-machine lumped parameter model, by integrating the simplified 5 degrees of freedom (DoF) tracked vehicle model, including seat and 4 DoF human bio-dynamic model, thus resulting in a 9 DoF simplified vehicle-occupant model. Then the natural frequency of major mass segment namely the chassis mass is obtained through simulation study, for a known road input. The value obtained is compared with that of an earlier research work, for validation of said man-machine model. Then focusing our study locally at crew seat location, parameters of crew seat suspension for ride comfort are optimised using the optimal digital state space controller designed for this purpose by implementing it in a 2 DoF occupant - seat suspension model and its Simulink model constructed. Simulation results illustrate the attainment of the goal by meeting the controller design requirements.

scholarly journals The Influence of Nonlinear Stiffness of Novel Flexible Road Wheel on Ride Comfort of Tracked Vehicle Traversing Random Uneven Road

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 165293-165302 ◽  
Author(s):  
Yaoji Deng ◽  
Youqun Zhao ◽  
Wei Pi ◽  
Yuhao Li ◽  
Shilin Feng ◽  
...  
Keyword(s):  
Ride Comfort ◽  
Nonlinear Stiffness ◽  
Tracked Vehicle

Fuzzy Control of Tracked Vehicle’s Semi-Active Suspension System Based on LMS

2014 ◽  
Vol 602-605 ◽  
pp. 1313-1316 ◽  
Author(s):  
Xiao Dong Gao ◽  
Liang Gu ◽  
Ji Fu Guan ◽  
Jun Feng Gao
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Active Suspension ◽  
Adaptive Control System ◽  
Vehicle Model ◽  
Tracked Vehicle ◽  
Change Rate ◽  
Set Up

A half tracked vehicle model was established based on LMS, a co-simulation interface between control algorithm of MATLAB and physical model of LMS was set up. Fuzzy controller with PID regulator was proposed to achieve controlling strategy based on half tracked vehicle model. With suspension stroke and its change rate as input parameters of fuzzy controller, the dynamic adjusting parameters of PID controller are acquired through fuzzy controller, then a semi-active suspension vehicle adaptive control system was formed. The simulation result shows that the adaptive control system can effectively coordinate the contradiction acceleration and dynamic travel in different bands, the ride comfort tracked vehicle is significantly improved.

A new coordinated control strategy for tracked vehicle ride comfort

2017 ◽  
Vol 232 (3) ◽  
pp. 330-341 ◽  
Author(s):  
Jianfeng Li ◽  
Amir Khajepour ◽  
Yanjun Huang ◽  
Hong Wang ◽  
Chen Tang ◽  
...  
Keyword(s):  
Control Strategy ◽  
Degrees Of Freedom ◽  
Target Location ◽  
Ride Comfort ◽  
Sliding Mode ◽  
Coordinated Control ◽  
Magnetorheological Damper ◽  
Vertical Acceleration ◽  
Tracked Vehicle ◽  
Multi Body

To improve tracked vehicle ride comfort and minimize weapon's vibration, a coordinated control strategy is developed for tracked vehicles' semi-active suspension systems. A model with eight degrees-of-freedom for a tracked vehicle equipped with magnetorheological dampers is established, and is followed by the formulation of a sliding mode controller. The proposed control algorithm is a localized-based controller that can change its target location in the tracked vehicle to where it is needed most. A co-simulation system model including a six-wheel tracked vehicle multi-body dynamics model, coordinated control strategy, and magnetorheological damper force allocator is developed to analyze the ride performance under bump and random road excitations. The simulation results demonstrate that the proposed strategy is very effective in improving the vehicle's ride performance and is much better than the traditional skyhook controllers. The innovation of this paper can be concluded as the coordinated control strategy can simultaneously improve vertical acceleration and pitch acceleration for the hull, which is of great importance for combat situations.

Extended Kalman Filter in 2S1 Tracked Vehicle System with Hybrid Control

2016 ◽  
Vol 248 ◽  
pp. 69-76 ◽  
Author(s):  
Andrzej Jurkiewicz ◽  
Janusz Kowal ◽  
Kamil Zając
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Hyperbolic Model ◽  
Linear Filter ◽  
Tracked Vehicle ◽  
Active Structure

The essence of the undertaken topic is the problem of estimation of state vector in the model of 2S1 tracked vehicle suspension system through the use of Extended Kalman Filter. The use of non-linear filter has become necessary due to the magnetorheological damper located at suspension system, which has been described by hyperbolic model. Application of the damper caused the tested suspension system has become a semi-active structure in which the hybrid control was applied. The choice of this type of control stems from the fact that in the case of tracked combat vehicles in addition to the advantageous conditions of work of vehicle crew also cornering stability and the possibility of sudden acceleration or braking is important. The hybrid control allows to determine a compromise between ride comfort and stability of 2S1 platform.

Active Control Technology of Engine during the Upshifting

2013 ◽  
Vol 344 ◽  
pp. 186-189
Author(s):  
Yong Gang Sun ◽  
Bo Lan Liu ◽  
Chang Zhen Deng
Keyword(s):  
Active Control ◽  
Control Strategy ◽  
Power Loss ◽  
Ride Comfort ◽  
Experimental Studies ◽  
Engine Oil ◽  
Tracked Vehicle ◽  
Vehicle Impact ◽  
Research Platform ◽  
Active Control Strategy

In this study, a light tracked vehicle powertrain plant as a research platform, do simulation and experimental studies for upshift dynamic process of the tracked vehicle, study the effect that using active control strategy for the integration of the tracked vehicle impact on ride comfort and acceleration. The results show that in the upshifting process, active reduction of engine oil control can improve vehicle ride comfort, but the increase by reducing fuel consumption and reduce the reducing time will lead to increase shift smoothness and increase upshift power loss.

Vibration and ride comfort studies on a tracked vehicle

2002 ◽  
Vol 9 (3) ◽  
pp. 241 ◽  
Author(s):  
C. Sujatha ◽  
A.K. Goswami ◽  
J. Roopchand
Keyword(s):  
Ride Comfort ◽  
Tracked Vehicle

scholarly journals A Semiactive and Adaptive Hybrid Control System for a Tracked Vehicle Hydropneumatic Suspension Based on Disturbance Identification

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shousong Han ◽  
Zhiqiang Chao ◽  
Xiangbo Liu
Keyword(s):  
Control System ◽  
Control Strategy ◽  
High Speed ◽  
Ride Comfort ◽  
Hybrid Control ◽  
Tracked Vehicle ◽  
Zero Crossing ◽  
Damping Control ◽  
Control Gain ◽  
Self Adaptive

The riding conditions for a high-speed tracked vehicle are quite complex. To enhance the adaptability of suspension systems to different riding conditions, a semiactive and self-adaptive hybrid control strategy based on disturbance velocity and frequency identification was proposed. A mathematical model of the semiactive, self-adaptive hybrid suspension control system, along with a performance evaluation function, was established. Based on a two-degree-of-freedom (DOF) suspension system, the kinematic relations and frequency zero-crossing detection method were defined, and expressions for the disturbance velocity and disturbance frequency of the road were obtained. Optimal scheduling of the semiactive hybrid damping control gain (csky, cground, chybrid) and self-adaptive control gain (cv) under different disturbances were realized by exploiting the particle swarm multiobjective optimization algorithm. An experimental study using a carefully designed test rig was performed under a number of typical riding conditions of tracked vehicles, and the results showed that the proposed control strategy is capable of accurately recognizing different disturbances, shifting between control modes (semiactive/self-adaptive), and scheduling the damping control gain according to the disturbance identification outcomes; hence, the proposed strategy could achieve a good trade-off between ride comfort and ride safety and efficiently increase the overall performance of the suspension under various riding conditions.

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