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GA-Based Evolutionary Identification of Model Structure for Small-scale Robot Helicopter System

机译:基于遗传算法的小型机器人直升机系统模型结构演化识别

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This paper analyses problems in the model identification and express the transfer characteristics of small-scale robot helicopter using the fractional form. Subsequently, a GA-based identification method is used to identify it. Our proposed method is verified through an example and an experimental study. The example can see that the genetic algorithm used to identify the transfer function is useful and feasible. The experimental results reveal the robot helicopter system structure and the identification of parameters can be simultaneously attained using the proposed GA method, in contrastto the conventional identification algorithms.
机译:本文分析了模型识别中的问题,并用分数形式表达了小型机器人直升机的传递特性。随后,使用基于GA的识别方法对其进行识别。通过实例和实验研究验证了我们提出的方法。从该示例可以看出,用于识别传递函数的遗传算法是有用且可行的。实验结果表明,与传统的识别算法相比,本文提出的遗传算法可以同时实现机器人直升机系统的结构和参数的识别。

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