Strategy optimization of a solar car for a long-distance race using Big Bang — Big Crunch optimization

In this paper, a new optimization approach based on Big Bang - Big Crunch optimization method to be employed in World Solar Challenge 2013 by Istanbul Technical University Solar Car Team is proposed. As much as the significance of renewable energy resources themselves, it is also important to optimally utilize them in an efficient way. World Solar Challenge is a biennially organized, 3021 km long race which serves a competitive ground for solar car teams from all over the world. Firstly, the solar car model which is subject to optimization is studied, and then the Big Bang - Big Crunch optimization method is developed for the proposed problem. After various simulation studies the optimal speed references are computed for predefined segments along the route. The obtained results are realistic and practical for World Solar Challenge.

[1]  Ceriel Mocking,et al.  Optimal design and strategy for the SolUTra , 2006 .

[2]  Serdar Iplikci,et al.  A support vector machine based control application to the experimental three-tank system. , 2010, ISA transactions.

[3]  Phil Howlett,et al.  Critical Speed Control of a Solar Car , 2002 .

[4]  Hani Hagras,et al.  A big bang-big crunch optimization based approach for interval type-2 fuzzy PID controller design , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[5]  Engin Yesil,et al.  Adaptive fuzzy model based inverse controller design using BB-BC optimization algorithm , 2011, Expert Syst. Appl..

[6]  G. S. Wright.  Optimal energy management for solar car race , 1996, Proceedings of the 39th Midwest Symposium on Circuits and Systems.

[7]  Yasuo Shimizu,et al.  Solar car cruising strategy and its supporting system , 1998 .

[8]  Veysel Murat Istemihan Genc,et al.  Big bang-big crunch based optimal preventive control action on power systems , 2012, 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe).

[9]  R. Al Zaher.  Axial flux permanent magnet motor Csiro: New frame design, analysis, steady state model and comparison to radial flux permanent magnet motor Biel , 2010 .

[10]  T. Kumbasar,et al.  Inverse fuzzy Model Control with online adaptation via Big Bang-Big Crunch optimization , 2008, 2008 3rd International Symposium on Communications, Control and Signal Processing.

[11]  I. Eksin,et al.  Type-2 fuzzy model based controller design for neutralization processes. , 2012, ISA transactions.

[12]  Ali Kaveh,et al.  Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability , 2012 .

[13]  Engin Yesil,et al.  Big Bang Big Crunch Optimization Method Based Fuzzy Model Inversion , 2008, MICAI.

[14]  Igor Skrjanc,et al.  Inverse-model predictive control based on INFUMO-BB-BC optimization , 2010, ALCOSP.

[15]  Ibrahim Eksin,et al.  A new optimization method: Big Bang-Big Crunch , 2006, Adv. Eng. Softw..

[16]  Engin Yesil,et al.  Online fuzzy rule weighting method for fuzzy PID controllers via Big Bang-Big Crunch optimization , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[17]  Engin Yesil,et al.  MATLAB case-based reasoning GUI application for control engineering education , 2012, 2012 International Conference on Information Technology Based Higher Education and Training (ITHET).

[18]  Leon Urbas,et al.  Big Bang – Big Crunch Learning Method for Fuzzy Cognitive Maps , 2010 .

[19]  M. Furkan Dodurka,et al.  Goal-oriented decision support using Big Bang-Big Crunch learning based Fuzzy Cognitive Map: An ERP management case study , 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).