Fuzzy sliding mode control of vehicle suspension systems
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Suspension systems are one of the most important vehicle components and have become an attractive research and development area by automotive companies and researchers.The ultimate goal of this research is to develop an active suspension control algorithm to improve the ride comfort and performance of cars suspensions. For this purpose a new fuzzy sliding mode controller was applied to quarter and half car model. Sliding mode control is combined with two inputs-single output fuzzy logic controller to make a new control method which is called fuzzy sliding mode controller. Error and derivative error are inputs of fuzzy logic controller and the slope constant of the sliding surface of the sliding mode controller is the output of fuzzy logic controller. Fuzzy logic algorithm continuously updates the slope constant of the sliding surfaces of the sliding mode controller.Another goal of this research is the introduction of new approaches to the suspension gap problem in the quarter and half car model.It has been shown that the designed controller does not cause any problem in suspension gap limits in addition to improvement in the ride comfort.
Author
Fazıl Nihat Bodur
Institution
How to Cite
Fazıl Nihat Bodur (Doctorate thesis). Fuzzy sliding mode control of vehicle suspension systems, 2008, Sakarya University, Elektrik ve Elektronik Mühendisliği Bölümü.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Ömer Öngüt, his views and community through publications(2025)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Tiles in architect Vedat Tek's Istanbul buildings(2024)
- Financial performance evaluation and the relationship between stock returns: Hesitant Fuzzy AHP based approach(2020)
