The purpose of this paper is devoted to developing a chaotic artificial bee colony algorithm (CABC) for the system identification\nof a small-scale unmanned helicopter state-space model in hover condition. In order to avoid the premature of traditional artificial\nbee colony algorithm (ABC), which is stuck in local optimum and can not reach the global optimum, a novel chaotic operator with\nthe characteristics of ergodicity and irregularity was introduced to enhance its performance.With input-output data collected from\nactual flight experiments, the identification results showed the superiority of CABC over the ABC and the genetic algorithm (GA).\nSimulations are presented to demonstrate the effectiveness of our proposed algorithm and the accuracy of the identified helicopter\nmodel.
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