Study of a Novel Control Method of a Steering System for a Radio-Controlled Truck

1996 ◽  
Author(s):  
Masanori Kobayashi ◽  
Taketoshi Kawabe ◽  
Sadahiro Takahashi ◽  
Yoshito Watanabe
2019 ◽  
Vol 11 (11) ◽  
pp. 168781401989210 ◽  
Author(s):  
Guangfei Xu ◽  
Peisong Diao ◽  
Xiangkun He ◽  
Jian Wu ◽  
Guosong Wang ◽  
...  

In the research process of automotive active steering control, due to the model uncertainty, road surface interference, sensor noise, and other influences, the control accuracy of the active steering system will be reduced, and the driver’s road sense will become worse. The traditional robust controller can solve the model uncertainty, pavement disturbance and sensor noise in the design process, but cannot consider the performance enough. Therefore, this article proposes an active steering control method based on linear matrix inequality. In this method, the model uncertainty, road interference, sensor noise, yaw velocity, and slip side angle tracking errors are all considered as constraint targets, respectively, so that the performance and robust stability of the active front steering system can be guaranteed. Finally, simulation and hardware in the loop experiment are implemented to verify the effect of active front steering system under the linear matrix inequality controller. The results show that the proposed control method can achieve better robust performance and robust stability.


Author(s):  
Atsushi Oshima ◽  
Xu Chen ◽  
Sumio Sugita ◽  
Masayoshi Tomizuka

Variable-gear-ratio steering is an advanced feature in automotive vehicles. As the name suggest, it changes the steering gear ratio depending on the speed of the vehicle. This feature can simplify steering for the driver, which leads to various advantages, such as improved vehicle comfort, stability, and safety. One serious problem, however, is that the variable-gear-ratio system generates unnatural torque to the driver whenever the variable-gear-ratio control is activated. Such unnatural torque includes both low-frequency and steering-speed-dependent components. This paper proposes a control method to cancel this unnatural torque. We address the problem by using a tire sensor and a set of feedback and feedforward algorithms. Effectiveness of the proposed method is experimentally verified using a hardware-in-the-loop experimental setup. Stability and robustness under model uncertainties are evaluated.


2012 ◽  
Vol 249-250 ◽  
pp. 667-671 ◽  
Author(s):  
Kui Yang Wang ◽  
Chuan Yi Yuan ◽  
Jin Hua Tang ◽  
Guo Qing Li

In order to eliminate mutual negative effect of brake, steering and suspension system, a kind of layered coordinated control method based on multiple controllers is put forward. Framework of coordination control system of chassis is established, coordination strategy of upper controller and control strategy of lower controllers are designed. The upper controller is used mainly to receive operation information of driver, running state of vehicle and feedback information of lower controllers, and send coordination control strategy to lower controllers. The lower controllers include controller of electro mechanical braking system (EMB), controller of electric power steering system (EPS) and controller of active suspension system (ASS), which are used to receive decision instruction of upper controller, control actuators to accomplish control tasks and send execution situation to upper controller in time.


2016 ◽  
Vol 31 (6) ◽  
pp. 2941-2948 ◽  
Author(s):  
Shujie Song ◽  
Jiwei Qu ◽  
Yining Li ◽  
Wei Zhou ◽  
Kangquan Guo

2011 ◽  
Vol 58-60 ◽  
pp. 2621-2633
Author(s):  
Ming Hui Wang ◽  
Yong Quan Yu ◽  
Bi Zeng

The ship motion is characterized by nonlinearity, time varying, uncertainty and complex interference from the environment, therefore there are certain limits in conventional PID control and self-adapting control for ship steering system. This paper combines three intelligent control technologies, that is, fuzzy control, neural network and extension control, to propose a multimode intelligent control method. Fuzzy control is utilized to solve control problem of uncertainty system, and learning ability of neural network is utilized to optimize the controller parameters. A new multi-mode transition controller based on extension control is presented and well designed in this paper, which may realize smooth switching during control process. In order to satisfy the requirements of higher accuracy and faster response of complex system, every control strategy designed can realize ideal control effect within the scope of its effective control. The simulation experiment is made to test dynamic and static performances of ship steering system under model parameter perturbation and wave interference. The simulation results show that the control system achieves satisfactory performances by implementing the multimode intelligent control.


2014 ◽  
Vol 494-495 ◽  
pp. 159-162
Author(s):  
En Guo Dong ◽  
Lei Zhang ◽  
Li Xue Liang

A design method of integrated control for suspension system and steering system is proposed based on vehicle ride comfort and handling stability. A car simulation model is built applying the software of MATLAB and ADAMS. The construction and characteristic of the integrated simulation model of the suspension system and steering system is illustrated in detail which uses fuzzy method and PID method. Using the simulation model, body vertical acceleration, roll angle and yaw angular velocity are measured in three status which include no control condition, the individually control for active suspension, and the integration control respectively. The simulation data show that the integrated control method synchronously ensures the ride comfort and handling stability.


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