Vehicle parameter identification using population based algorithms

Hakan GÖKDAĞ

Makale detayları

Vehicle parameter identification using population based algorithms

Yazarlar:

Hakan GÖKDAĞ

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation 2015 Vol.3 Issue 2, pp.31-38

Belge Tipi:

Makale

Yayın Tarihi:

7/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000430761

eISSN:

2147-9542

Özet:

 

This work deals with parameter identification of a vehicle using population based algorithms such as Particle Swarm Optimization (PSO), Artificial Bee Colony Optimization (ABC) and Genetic Algorithm (GA). Full vehicle model with seven degree of freedom (DoF) is employed, and two objective functions based on reference and computed responses are proposed. Solving the optimization problem vehicle mass, moments of inertia and vehicle center of gravity parameters, which are necessary for later applications such as vehicle control and performance analysis, are obtained. It is demonstrated the proposed approach achieves to determine unknown parameters with negligible relative errors in spite of noise interference. .

Makale detayları

Vehicle parameter identification using population based algorithms

Yazarlar: Hakan GÖKDAĞ

Yayıncı: Gazi University

Dergi: Gazi University Journal of Science Part A: Engineering and Innovation 2015 Vol.3 Issue 2, pp.31-38

Belge Tipi: Makale

Yayın Tarihi: 7/2015

Belge Dili: İngilizce

Document ID (Org No.): 2000430761

eISSN: 2147-9542

Sayı

Yazarlar:

Hakan GÖKDAĞ

Yayıncı:

Gazi University

Dergi:

Gazi University Journal of Science Part A: Engineering and Innovation 2015 Vol.3 Issue 2, pp.31-38

Belge Tipi:

Makale

Yayın Tarihi:

7/2015

Belge Dili:

İngilizce

Document ID (Org No.):

2000430761

eISSN:

2147-9542