scholarly journals Design of stable controller attachable Anti Roll System (ARS) for vehicles

Author(s):  
S. Prakash ◽  
Sangeetha krishnamoorthi ◽  
Vivek Rai ◽  
Rohan Kumar ◽  
Suraj Gupta
Keyword(s):  
1998 ◽  
Vol 10 (11) ◽  
pp. 2695-2697 ◽  
Author(s):  
L. Schouveiler ◽  
P. Le Gal ◽  
M. P. Chauve

Author(s):  
Bo Min Kim ◽  
Dae Sik Ko ◽  
Jong Min Kim

In general, vehicle uses torsional stiffness of a stabilizer bar to control the roll motion. But this stabilizer bar system has problems with degradation for ride comfort and vehicle’s NVH characteristic due to the suspension parasitic stiffness caused by deformation and wear of the stabilizer bar rubber bush. In addition, it is difficult to control the vehicle’s roll motion effectively in case of excessive vehicle roll behavior when it is designed to satisfy ride comfort simultaneously because of the stabilizer bar’s linear roll stiffness characteristic. In this paper, the new anti-roll system is suggested which consists of connecting link, push rod, laminated leaf spring, and rotational bearing. This new concept anti-roll system can minimize the suspension parasitic stiffness by using rotational bearing structure and give the vehicle non-linear roll stiffness by using the laminated leaf spring structure which are composed of main spring and auxiliary one. Reduction of suspension parasitic stiffness and realization of non-linear roll stiffness in this anti-roll system were verified with both vehicle dynamic simulation and vehicle test. Also, this study includes improvement of the system operating efficiency through material change and shape optimization of the leaf spring, and optimal configuration of the force transfer system.


2012 ◽  
Vol 461 ◽  
pp. 606-610
Author(s):  
Wei Ping Luo

Focused on the S-shape deviation problem in the narrow fabric production process, this paper introduces an intelligent control system with DC servomotor as the actuator for an intermediate guide roll system. To improve the dynamic performance of the deviation control system and solve the motor vibration problem, the deviation control algorithm is proposed, which is related to intelligent PD feedback control combined with the feed-forward regulation for the system deviation, and its MatLab simulation results show its good performances and advantages. Furthermore, a technical approach for the deviation controller using DSP processor chip TMS320F2812 is presented. The system is applied in the intermediate guide roll system, and the application result indicates that the system is characterized by fast response and steady operation and it is a good solution for the motor vibration.


2015 ◽  
Vol 39 (3) ◽  
pp. 615-624
Author(s):  
Sungham Hong ◽  
Juhwan Choi ◽  
Sungsoo Rhim ◽  
Jin Hwan Choi

The design and development of Roll-to-Roll (R2R) system has been mainly executed by the expert’s experience. There are some important issues in the numerical analysis method about a roller path and the control of the R2R system. This study proposes the efficient R2R system analysis methods. The first one is an Approximated Winding Length Estimation (AWLE) algorithm which can calculate the analytic winded length of a workpiece. The winder can be approximated with line and arc segments at this algorithm. As a result, in the numerical model of the R2R system, we can replace the winder characteristics with the AWLE algorithm. The second one is the contact algorithm between workpiece and rollers. This contact algorithm must be stable and fast for precise analysis. The third one is the flexible workpiece model. The workpiece can be modeled by finite elements. By describing the implementation of these important methods, this paper proposes an efficient R2R system analysis method.


Author(s):  
KyungHyun Choi ◽  
Muhammad Zubair ◽  
Ganeshthangaraj Ponniah

The mass production of printed electronic devices can be achieved by roll-to-roll system that requires highly regulated web tension. This highly regulated tension is required to minimize printing register error and maintain proper roughness and thickness of the printed patterns. The roll-to-roll system has a continuous changing roll diameter and a strong coupling exists between the spans. The roll-to-roll system is a multi-input-multi-output, time variant, and nonlinear system. The conventional proportional–integral–derivative control, used in industry, is not able to cope with roll-to-roll system for printed electronics. In this study, multi-input-single-output decentralized control scheme is used for control of a multispan roll-to-roll system by applying regularized variable learning rate backpropagating artificial neural networks. Additional inputs from coupled spans are given to regularized variable learning rate backpropagating artificial neural network control to decouple the two spans. Experimental results show that the self-learning algorithm offers a solution to decouple speed and tension in a multispan roll-to-roll system.


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