Details
| Original language | English |
|---|---|
| Title of host publication | 10th International Conference on Control, Decision and Information Technologies |
| Subtitle of host publication | CoDIT 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2692-2697 |
| Number of pages | 6 |
| ISBN (electronic) | 9798350373974 |
| ISBN (print) | 979-8-3503-7398-1 |
| Publication status | Published - 1 Jul 2024 |
| Event | 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024 - Valletta, Malta Duration: 1 Jul 2024 → 4 Jul 2024 |
Publication series
| Name | International Conference on Control, Decision and Information Technologies |
|---|---|
| ISSN (Print) | 2576-3547 |
| ISSN (electronic) | 2576-3555 |
Abstract
The Mössbauer spectroscopy or also known as Gamma ray resonance spectroscopy based on the Mössbauer effect has not only proven itself in the form of the MIMOS II (miniaturised Mössbauer spectrometer) as a reliable measuring instrument for planetary exploration with a service life of several years on Mars, but also offers a wide range of popular applications on Earth with many applications in industry, science, art and much more. An important component of the Mössbauer spectrometer is the Mössbauer drive, which allows, utilizing the Doppler effect, to vary the amount of energy of the emitted gamma quanta so that it corresponds to the resonance energy and energetically excites the irradiated nuclei. This paper deals with drive modelling and control in Mössbauer spectroscopy. For the first time, a single-mass model is used instead of the previously common three-mass model, as in this context only the momentum mass of the drive is the focus of the regulation. After modeling and determining important characteristics such as natural frequency and damping behavior of the unregulated system, three control algorithms are developed and compared. First, there is a PID controller design. Second, there is a feasible heuristic filtering method with subsequent normalization. Third, there is a simulated state-space model with the associated state feedback. All approaches yield good results and can be further evaluated in a practical environment. The heuristic control concept fundamentally revises common design approaches and opens up a broad spectrum of research. The controller design provides for a combination of signal-smoothing and signal-amplifying low-pass filtering in combination with dynamic input vector normalisation. This achieves the desired frequency and amplitude response of and 0.3 mm and optimises the dynamics for real laboratory use.
Keywords
- Conrol Design for Mössbauer Drives, Drive Modeling for the MIMOS II, Drives in Mössbauer Spectroscopy
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Information Systems
- Decision Sciences(all)
- Decision Sciences (miscellaneous)
- Decision Sciences(all)
- Information Systems and Management
- Engineering(all)
- Control and Systems Engineering
- Mathematics(all)
- Control and Optimization
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10th International Conference on Control, Decision and Information Technologies: CoDIT 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 2692-2697 (International Conference on Control, Decision and Information Technologies).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Advanced Approaches in Mössbauer Drive Modelling and Controller Design Reducing System Order and Increasing Robustness
AU - Beyki, Mohammad
AU - Pawlak, Justus
AU - Patzke, Robert
AU - Renz, Franz
N1 - Publisher Copyright: © 2024 IEEE.
PY - 2024/7/1
Y1 - 2024/7/1
N2 - The Mössbauer spectroscopy or also known as Gamma ray resonance spectroscopy based on the Mössbauer effect has not only proven itself in the form of the MIMOS II (miniaturised Mössbauer spectrometer) as a reliable measuring instrument for planetary exploration with a service life of several years on Mars, but also offers a wide range of popular applications on Earth with many applications in industry, science, art and much more. An important component of the Mössbauer spectrometer is the Mössbauer drive, which allows, utilizing the Doppler effect, to vary the amount of energy of the emitted gamma quanta so that it corresponds to the resonance energy and energetically excites the irradiated nuclei. This paper deals with drive modelling and control in Mössbauer spectroscopy. For the first time, a single-mass model is used instead of the previously common three-mass model, as in this context only the momentum mass of the drive is the focus of the regulation. After modeling and determining important characteristics such as natural frequency and damping behavior of the unregulated system, three control algorithms are developed and compared. First, there is a PID controller design. Second, there is a feasible heuristic filtering method with subsequent normalization. Third, there is a simulated state-space model with the associated state feedback. All approaches yield good results and can be further evaluated in a practical environment. The heuristic control concept fundamentally revises common design approaches and opens up a broad spectrum of research. The controller design provides for a combination of signal-smoothing and signal-amplifying low-pass filtering in combination with dynamic input vector normalisation. This achieves the desired frequency and amplitude response of and 0.3 mm and optimises the dynamics for real laboratory use.
AB - The Mössbauer spectroscopy or also known as Gamma ray resonance spectroscopy based on the Mössbauer effect has not only proven itself in the form of the MIMOS II (miniaturised Mössbauer spectrometer) as a reliable measuring instrument for planetary exploration with a service life of several years on Mars, but also offers a wide range of popular applications on Earth with many applications in industry, science, art and much more. An important component of the Mössbauer spectrometer is the Mössbauer drive, which allows, utilizing the Doppler effect, to vary the amount of energy of the emitted gamma quanta so that it corresponds to the resonance energy and energetically excites the irradiated nuclei. This paper deals with drive modelling and control in Mössbauer spectroscopy. For the first time, a single-mass model is used instead of the previously common three-mass model, as in this context only the momentum mass of the drive is the focus of the regulation. After modeling and determining important characteristics such as natural frequency and damping behavior of the unregulated system, three control algorithms are developed and compared. First, there is a PID controller design. Second, there is a feasible heuristic filtering method with subsequent normalization. Third, there is a simulated state-space model with the associated state feedback. All approaches yield good results and can be further evaluated in a practical environment. The heuristic control concept fundamentally revises common design approaches and opens up a broad spectrum of research. The controller design provides for a combination of signal-smoothing and signal-amplifying low-pass filtering in combination with dynamic input vector normalisation. This achieves the desired frequency and amplitude response of and 0.3 mm and optimises the dynamics for real laboratory use.
KW - Conrol Design for Mössbauer Drives
KW - Drive Modeling for the MIMOS II
KW - Drives in Mössbauer Spectroscopy
UR - http://www.scopus.com/inward/record.url?scp=85208226476&partnerID=8YFLogxK
U2 - 10.1109/CoDIT62066.2024.10708439
DO - 10.1109/CoDIT62066.2024.10708439
M3 - Conference contribution
AN - SCOPUS:85208226476
SN - 979-8-3503-7398-1
T3 - International Conference on Control, Decision and Information Technologies
SP - 2692
EP - 2697
BT - 10th International Conference on Control, Decision and Information Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Control, Decision and Information Technologies, CoDIT 2024
Y2 - 1 July 2024 through 4 July 2024
ER -