Abstract
This paper proposes a mixed sensitivity/model reference control using evolutionary algorithms. The proposed technique can solve the problem of complicated and high order controller of conventional H ∞ optimal control. In addition, time domain specifications such as overshoot, undershoot, rise time can be incorporated in the design by formulating the appropriate fitness function of compact genetic algorithms. By the proposed approach, robustness and performance in terms of frequency domain and time domain specifications can be achieved simultaneously. Simulation results in a servo system verify the effectiveness of the proposed technique.
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© 2009 Springer-Verlag Berlin Heidelberg
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Srithongchai, P., Olranthichachat, P., Kaitwanidvilai, S. (2009). Fixed-Structure Mixed Sensitivity/Model Reference Control Using Evolutionary Algorithms. In: Wang, H., Shen, Y., Huang, T., Zeng, Z. (eds) The Sixth International Symposium on Neural Networks (ISNN 2009). Advances in Intelligent and Soft Computing, vol 56. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01216-7_71
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DOI: https://doi.org/10.1007/978-3-642-01216-7_71
Publisher Name: Springer, Berlin, Heidelberg
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