Research on Road Simulator with Iterative Learning Control School of Automobile Engineering of Wuhan University of Technology

Format:

Conference/Event

Author/Creator:

Wang, Bin, author.

Conference Name:

SAE 2009 Commercial Vehicle Engineering Congress & Exhibition (2009-10-06 : Rosemont, Illinois, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2009

Summary:

Road simulation experiment in laboratory is a most important method to enhance the design quality of vehicle products. Presently, two main control techniques for road simulationremote parameter control (RPC) and minimum variance adaptive controlare both defective: the former becomes an open-loop control after generating the drive signals, however the latter is essentially a kind of gradual control. To realize the closed-loop control and increase the control quality, this article brings forward a PID open-closed loop control method. Firstly taking the original road simulator as a group to identify, a nonlinear autoregressive moving average (NARMA) model was built with the dynamic neural network. Subsequently, this plant model was used to build the open-closed loop control system mentioned above. In the closed-loop a discrete PID controller was introduced to stabilize the system, while a P-type iterative learning control (ILC) was adopted to increase the control quality. Simulation results show that by using open-closed loop ILC, system convergence rate is fast, so this method can be applied to physical system

Notes:

Vendor supplied data

Publisher Number:

2009-01-2908

Access Restriction:

Restricted for use by site license