Motivation & Background

One focus of environmental protection is the reduction of pollutants in exhaust gases. To achieve this, precise measurement and monitoring of exhaust gas composition is crucial.

Tunable Diode Laser Absorption Spectroscopy (TDLAS) has proven to be a reliable method for this purpose. In order to automate the measurement system and eliminate the need for specialist personnel, an automated TDLAS system needs to be developed. This system will include automated alignment of the mirrors to ensure the maximum possible signal detection. The objective of this project is to develop and implement an automated alignment system.

First, suitable actuators need to be selected, before an algorithm is developed using either LabVIEW or Python. This algorithm should continuously optimize the mirror positions. The ultimate goal is to transfer the developed system and algorithm to an existing real system, specifically a multipass White cell. Finally, the functionality of the automated system shall be evaluated under realistic conditions.

Tasks

• Familiarization with the subject
• Design of a suitable actuator system for mirror adjustment
• Implementation of an algorithm on a simplified setup
• Transfer to a real system
• Evaluation of the functionality
• Thesis and colloquium