Robustness analysis of evolutionary controller tuning using real systems

GONGORA, Mario A., PASSOW, Benjamin N. and HOPGOOD, Adrian A. (2009). Robustness analysis of evolutionary controller tuning using real systems. In: IEEE Congress on Evolutionary Computation 2009. IEEE, 606-613.

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A genetic algorithm (GA) presents an excellent method for controller parameter tuning. In our work, we evolved the heading as well as the altitude controller for a small lightweight helicopter. We use the real flying robot to evaluate the GA's individuals rather than an artificially consistent simulator. By doing so we avoid the ldquoreality gaprdquo, taking the controller from the simulator to the real world. In this paper we analyze the evolutionary aspects of this technique and discuss the issues that need to be considered for it to perform well and result in robust controllers.

Item Type: Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018: Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:
Page Range: 606-613
Depositing User: Adrian Hopgood
Date Deposited: 31 Aug 2012 13:27
Last Modified: 18 Mar 2021 13:52

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