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Stochastic Optimal Control of a Solar Car

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Optimization and Related Topics

Part of the book series: Applied Optimization ((APOP,volume 47))

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Abstract

The World Solar Challenge is a 3000km race for solar powered cars across the Australian continent from Darwin to Adelaide. Each car is powered by a panel of photovoltaic cells which convert solar irradiance to electrical power. The power can be used directly to drive the car or stored for later use. In this paper the solar radiation is modelled as a Markov process and we use the Bellman Principle of dynamic programming to find an optimal control policy that maximises the expected value of the total distance to be travelled by the car on the remaining race days. We illustrate the general results with some basic examples.

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References

  • Gates, D.J. and Westcott, M.R. (1996), Solar cars and variational problems equivalent to shortest paths. SIAM Journal on Control and Optimization, 34, 2, 428–436.

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  • Howlett, P., Pudney, P., Tarnopolskaya, T. and Gates, D. (1997), Optimal driving strategy for a solar car on a level road. IMA J. Maths. Applied in Business and Industry, 8, 59–81.

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  • Howlett, P.G. and Pudney, P.J. (1998), An optimal driving strategy for a solar powered car on an undulating road. Dynamics of Continuous, Discrete and Impulsive Systems, 4, 553–567.

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© 2001 Springer Science+Business Media Dordrecht

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Boland, J., Gaitsgory, V., Howlett, P., Pudney, P. (2001). Stochastic Optimal Control of a Solar Car. In: Rubinov, A., Glover, B. (eds) Optimization and Related Topics. Applied Optimization, vol 47. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6099-6_6

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  • DOI: https://doi.org/10.1007/978-1-4757-6099-6_6

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-4844-1

  • Online ISBN: 978-1-4757-6099-6

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