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Vehicle Controller Analysis and Design for the Automotive Industry for a Better Vehicle Performance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Vehicle Controller Analysis and Design for the Automotive Industry for a Better Vehicle Performance./
作者:	Lara, Oscar.
面頁冊數:	1 online resource (204 pages)
附註:	Source: Masters Abstracts International, Volume: 85-01.
Contained By:	Masters Abstracts International85-01.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30524163click for full text (PQDT)
ISBN:	9798379913694

Vehicle Controller Analysis and Design for the Automotive Industry for a Better Vehicle Performance.
Lara, Oscar.

Vehicle Controller Analysis and Design for the Automotive Industry for a Better Vehicle Performance. - 1 online resource (204 pages)

Source: Masters Abstracts International, Volume: 85-01.

Thesis (M.S.)--Texas A&M University - Kingsville, 2023.

Includes bibliographical references

In our world, technology is adapting to the needs that society strives for in advancements, and control systems play an enormous role in improving technology. Different techniques, ranging from classical to intelligent controllers, have been proposed and applied to enhance and optimize general system performance. For example, in the automotive industry, multiple control systems are implemented into the automotive system to create successful and better-performing vehicles. As part of this research, adaptive cruise control in cars as applied by researchers in the automotive industry is investigated, and re-designed systems for better performance are recommended. As part of the research work, a Proportional-Integral-Derivative controller, Fuzzy Logic controller, Model Predictive Controller, Linear Quadratic Tracking, Neural Network, Neuro-Fuzzy, Neuro-Fuzzy-LQT, and LQT-Neural Network controllers are reviewed and discussed regarding the advantages and disadvantages of each technique. These controllers are applied in various cases where the objectives are to keep a desired speed and avoid a collision. Based on the simulation results, the system performances are compared, analyzed, and discussed. As a result, the Linear Quadratic Tracking combined with a Neuro-Fuzzy controller outperforms the other controllers in the objectives assigned.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379913694Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Adaptive cruise controlIndex Terms--Genre/Form:

542853
Electronic books.

Vehicle Controller Analysis and Design for the Automotive Industry for a Better Vehicle Performance.
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