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Design and Development of an Autonomous Control System for A Micro Laboratory On-board a Nanosatellite

机译：纳米卫星微实验室自主控制系统的设计与开发

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Nowadays there are micro laboratories on-board nanosatellites in order to make experiments in microgravity. In order to achieve the experiment successfully these micro laboratories require the control of ambient conditions, this is made possible by on-board control modules. In Mexico, CINVESTAV Monterrey and the Engineering Faculty of the UNAM are currently working in the development of a nanosatellite with an on-board microlaboratory in order to study the effects of microgravity on the mechanisms of aging using yeast as a model eukaryotic organism. This micro laboratory requires instrumentation and a control module in order to meet the requirements of the mission. The proposal of this work is design and develop an autonomous control module with a neuro-fuzzy algorithm that monitor and control the micro laboratory experiment. The purpose of implementing a neuro-fuzzy control is that the artificial neural network (ANN) train a fuzzy controller according to the state of the actuators and sensors. No matter if there is a change in the condition of the actuators, the neuro-fuzzy control is intended to compensate and adapt to the possible modifications of the system.
机译：如今，为了在微重力下进行实验，机载纳米卫星上设有微实验室。为了成功完成实验，这些微型实验室需要控制环境条件，这可以通过板载控制模块来实现。在墨西哥，CINVESTAV Monterrey和UNAM工程学院目前正在开发带有机载微实验室的纳米卫星，以研究使用酵母作为真核生物模型的生物重力对衰老机制的影响。这个微型实验室需要仪器和控制模块才能满足任务的要求。这项工作的建议是设计和开发具有神经模糊算法的自主控制模块，该模块可监视和控制微型实验室实验。实施神经模糊控制的目的是，人工神经网络（ANN）根据执行器和传感器的状态训练模糊控制器。无论执行器的状态是否发生变化，神经模糊控制都旨在补偿并适应系统的可能更改。

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