基于蚁群遗传算法的舵机系统辨识（英文）

The study of parameters identification in steering gear hydraulic servo system based on ant colony genetic algorithm

舵机作为船用重要部件,是保证船舶航行和操控的关键。目前液压舵机在大型船舶上被广泛使用,大型液压舵机在应用是面临着参数非线性,负载变化等问题,因此,在设计过程中需要对其进行系统参数辨识,以精准设计其控制器。为实现高效设计控制器,应用蚁群算法对其进行系统参数辨识,首先根据数学模型推导舵机的动态方程,然后对一组信号的输出和系统响应进行辨识,根据辨识的结果对控制模型进行修正。为大型液压舵机的设计和系统参数辨识奠定了理论基础。

Steering gear is one of the most important marine auxiliary machineries and it is the key equipment for controlling ship course, ensuring navigation security and maneuverability. At present, the hydraulic steering gear is applied in the most of large-scale ship. Large hydraulic steering gear is a hydraulic servo system with nonlinear, variable load and variable parameters. In the process of its design, it is necessary to revise the controller repeatedly. To improve the controller design efficient, an identification method based on genetic ant colony algorithm is applied. Firstly, the dynamic equation of hydraulic system is deduced and the mathematical model is setup. Secondly, the measured input and output signal is applied to verify the results. As a results, the identified mathematical model is consistent with the real physical system. This work provides a solid theoretical basis for the future design of steering gear.