Abstract
Typically, control system design leads to a higher-order non-linear function of the system’s state variables. As a result, it is very hard to find a satisfactory mathematical solution. On the other hand, considering a microcontroller based implementation, another difficulty is to program it to carry out the desired control algorithm. This paper presents the application of linear genetic programming in the automatic synthesis of a microcontroller assembly program, which performs an optimized control of a water bath plant. The synthesis starts from the plant’s mathematical modeling and supplies directly a assembly code for the microcontroller platform. When comparing the control performance of the synthesized program with that of a neuro-fuzzy based controller, the synthesized program proved to perform slightingly better.
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Dias, D.M., Pacheco, M.A.C., Amaral, J.F.M. (2006). Genetic Programming of a Microcontrolled Water Bath Plant. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_40
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DOI: https://doi.org/10.1007/11893011_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
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