Abstract

The paper considers modification of a reaction wheel current control loop based on a fuzzy controller trained by a genetic algorithm. The control logic maintains the motor current which can be represented as a sum of two components, one of which is proportional to the input signal, and the other one corresponds to the error of control moment implementation. It is shown that the system with a fuzzy controller, which implements the variable gain on the error channel, eliminates the torque pulsation and reduces the time of transient processes while adjusting the control actions. The system operation has been simulated by means of MatLab Simulink software to confirm viability of the proposed control loop. The results of the work can be used in developing the advanced systems of spacecraft attitude control.

中文翻译：

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航天器反作用轮的模糊控制

摘要

本文考虑了基于遗传算法训练的模糊控制器对反作用轮电流控制回路的改进。控制逻辑保持电动机电流，该电流可以表示为两个分量之和，其中一个分量与输入信号成比例，另一个分量与控制力矩实现的误差相对应。结果表明，具有模糊控制器的系统可在误差通道上实现可变增益，消除转矩脉动，并在调整控制动作的同时减少了瞬态过程的时间。该系统操作已通过MatLab Simulink软件进行了仿真，以确认所提出的控制回路的可行性。这项工作的结果可用于开发先进的航天器姿态控制系统。