Development of a technology for car's auto-parking using swarm search-based fuzzy control system
by Mohamed Hanafy; Mostafa M. Gomaa; Mohamed Taher; Ayman M. Wahba
International Journal of Modelling, Identification and Control (IJMIC), Vol. 17, No. 1, 2012

Abstract: This paper introduces a new technique for automatic column (parallel) parking of four-wheeled cars. The intended technique is divided into two main stages. The first stage is the generation of the optimal path trajectory that the car can follow so that it can be parked in a parking lot with the minimum acceptable dimensions, after the discovery of the parking place. This stage is supported with a full parking scenario which is suitable for practical implementation. The second stage is the path tracking problem, which is solved by the design of the intended fuzzy control system. The parameters of the fuzzy controller beside the required time for parking achievement all are tuned by the search algorithm artificial fish swarm algorithm (AFSA). The performance of the involved swarm-based fuzzy controller (SBFC) is measured for solving the path tracking problem while operating on the dynamic model of a car-like robot, so that a full practical technique for car's auto parking can be completely realised. The simulation results for the path tracking problem are emphasised at the end of the paper reflecting the success of the intended auto parking control system.

Online publication date: Wed, 17-Dec-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com