Based on the Feedforward Inputs Obtained by the Intelligent Algorithm the Moving Mirror Control System of the Fourier Transform Spectrometer
Abstract
:1. Introduction
2. Materials and Methods
2.1. Intelligent Algorithm for Finding Feedforward Inputs
2.1.1. Design of Set Values in Algorithm
2.1.2. Design of the Algorithm
- memory, the array that is used to store the obtained feedforward inputs Uq(i)s that meet the speed requirements, with a total of values being stored;
- ΔU, the adjustment of driving voltage;
- fh_flag, the flag of the movement process. Since the search algorithm is only executed in the single-pass movement, the motion direction of the moving mirror in the search process is set as positive, fh_flag = 0, and the return process is set as negative, fh_flag = 1;
- QL, the same as the i of Uq(i). If the VT(i) satisfies the expected range in the current search process, QL will be increased by 1; otherwise, QL will remain unchanged and its value range is [1,];
- QM, the variable of position point S(QM), which is moving in the current search process. After determining the relationship between QM and QL, the driving voltage memory(QM) or the initial value U0 of Uq(i) are output. When realS = S(QM), QM plus 1 is used until QM = QL and the realS reaches the last S(QM); that is, S(QL), after checking whether the speed is in the range [VTL(QM),VTH(QM)]. Then, U0 is adjusted based on the check result. The value range of QM is [0, QL];
- realS, the current real-time digital displacement of the moving mirror;
- realV, the real-time speed VT(QM) of the current position point S(QM).
- When 0 ≤ QM ≤ QL − 2, at realS = S(QM), the driving voltage of moving mirror U = memory(QM);
- When QM = QL − 1, at realS = S(QM), the driving voltage of the moving mirror U = U0, and U0 is the initial value of feedforward voltage at the current position;
- When QM = QL, realV is compared with VTL(QM) and VTH(QM) at realS = S(QM). If VTL(QM) ≤ realV ≤ VTH(QM), this indicates that U0 meets the requirements. U0 is stored in memory and QL is added individually, which means the feedforward voltage at the current position point is found. To find the feedforward voltage of the next position point, fh_flag is set to 1. If realV < VTL(QM), this indicates that the driving voltage is too big; then, U = U0 − ΔU and fh_flag is set to 1. If realV > VTH(QM), this indicates that the driving voltage is too small; then, U = U0 + ΔU and fh_flag is set to 1.
2.2. Finding of Feedback Control Quantity
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Chris, D.B.; Ray, N.; Kaley, A. Retrievals for the atmospheric chemistry Experiment Fourier-transform Spectrometer. Appl. Opt. 2005, 44, 7218–7231. [Google Scholar]
- Peter, R.G.; James, A.H. Fourier Transform Infrared Spectrometry, 2nd ed.; John Wiley & Sons Inc.: New York, NY, USA, 2007; pp. 55–60. [Google Scholar]
- Persky, M.J. A review of spaceborne infrared Fourier transform spectrometers for remote sensing. Rev. Sci. Instrum. 1995, 66, 4793–4797. [Google Scholar] [CrossRef]
- García, O.E.; Sanromá, E.; Schneider, M. Improved Ozone Monitoring by Ground-based FTIR Spectrometry. Atmos. Meas. Tech. 2022, 15, 2557–2577. [Google Scholar] [CrossRef]
- Yin, H.; Sun, Y.W.; Liu, C. Remote Sensing of Atmospheric Hydrogen Fluoride (HF) over Hefei, China with Ground-Based High-Resolution Fourier Transform Infrared (FTIR) Spectrometry. Remote Sens. 2021, 13, 791. [Google Scholar] [CrossRef]
- Zhang, P. The Chinese meteorological satellite and applications. In Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, 10–15 July 2016. [Google Scholar]
- Hua, J.W.; Wang, Z.H.; Duan, J. Review of Geostationary Interferometric Infrared Sounder. Chin. Opt. Lett. 2018, 16, 111203. [Google Scholar]
- Richard, J.E.; Scott, A.D.; Kevin, R.G.; Graeme, L.S. Global observations of the carbon budget: 1. Expected satellite capabilities for emission spectroscopy in the EOS and NPOESS eras. JGR Atmos. 2001, 106, 20055–20068. [Google Scholar]
- Zhang, X.X.; Zhang, Y.; Bai, L. Retrieval of Carbon Dioxide Using Cross-Track Infrared Sounder (CrIS) on S-NPP. Remote Sens. 2021, 13, 1163. [Google Scholar] [CrossRef]
- Bashalkhanova, O.; Shephard, M.; Dammers, E. Application of Cross-Track Infrared Sounder (CrIS) Instrument for Remote Detection of Agricultural NH3 Emissions over Netherlands. In Proceedings of the 23rd EGU General Assembly, Online, 19–30 April 2021. [Google Scholar]
- Ronald, J.G.; David, C.J.; Peter, M. Development of the Crosstrack Infrared Sounder (CrIS) Sensor Design. SPIE 2002, 4486, 441–469. [Google Scholar]
- Suto, H.; Kataoka, F.; Kikuchi, N. Thermal and Near-infrared Sensor for Carbon Observation Fourier Transform Spectrometer-2 (TANSO-FTS-2) on the Greenhouse Gases Observing SATellite-2 (GOSAT-2) during Its First Year in Orbit. Atmos. Meas. Tech. 2021, 14, 2013–2039. [Google Scholar] [CrossRef]
- Noël, S.; Reute, M.; Buchwitz, M. Retrieval of Greenhouse Gases from GOSAT and GOSAT-2 Using the FOCAL Algorithm. Atmos. Meas. Tech. 2022, 15, 3401–3437. [Google Scholar] [CrossRef]
- Posselt, W. Michelson Interferometer for Passive Atmospheric Sounding. SPIE 1991, 1490, 114–125. [Google Scholar]
- Yang, M.Z.; Hernández, R.G.; Han, C. An Improvement Method of a Lossless Compression Scheme for the Datacube from Geostationary Interferometric Infrared Sounder (GIIRS) and Its FPGA Implementation. In Proceedings of the 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference, Chongqing, China, 11–13 December 2020. [Google Scholar]
- Pavel, V.K.; Lukas, W.; Donatas, Z. Fully Symmetric Dispersionless Stable Transmission-grating Michelson Interferometer. Opt. Express 2020, 28, 37752–37757. [Google Scholar]
- Artsang, P.; Pongchalee, P.; Palawong, K. A Technique for Phase Correction in Fourier Transform Spectroscopy. In Proceedings of the Third International Conference on Photonics Solutions, Pattava City, Thailand, 8–11 November 2017. [Google Scholar]
- Tian, F.F.; Li, S.Y. Design and Analysis of a Moving Mirror Supporting Mechanism for Fourier Transform Spectroscopy. In Proceedings of the 2020 3rd International Conference on Electron Device and Mechanical Engineering, Suzhou, China, 1–3 May 2020. [Google Scholar]
- Stumpf, K.; Overbeck, J. CrIS Optical System Design. SPIE 2002, 4486, 437–444. [Google Scholar]
- Paul, P.Z. Preliminary Design and Analysis of the GIFTS Instrument Pointing System, 1st ed.; The George Washington University Joint Institute for Advancement of Flight Sciences NASA Langley Research Center: Hampton, VG, USA, 2003; pp. 10–12. [Google Scholar]
- Wang, J.S.; Yang, G.H. Data-Driven Output-Feedback Fault-Tolerant Tracking Control Method and Its Application to a DC Servo System. IEEE/ASME Trans. Mechatron. 2019, 24, 1186–1196. [Google Scholar] [CrossRef]
- Takashi, K.; Hiroyuki, S.; Hidetoshi, I. Relative Vibration Suppression in a Positioning Machine Using Acceleration Feedback Control. IEEJ J. Ind. Appl. 2018, 7, 15–21. [Google Scholar]
- Liu, Y.; Wang, Z.Z.; Wang, Y.F. Cascade Tracking Control of Servo Motor with Robust Adaptive Fuzzy Compensation. Inf. Sci. 2021, 569, 450–468. [Google Scholar] [CrossRef]
- Banik, R.; Gweon, D. Design and optimization of voice coil motor for application in active vibration isolation. Sens. Actuators A Phys. 2007, 137, 236–243. [Google Scholar] [CrossRef]
- Abdul Ali, A.W.; Abdul Razak, F.A.; Hayima, N. A Review on The AC Servo Motor Control Systems. ELEKTRIKA-J. Electr. Eng. 2020, 19, 22–39. [Google Scholar] [CrossRef]
- Duan, J.; Hua, J.W.; Wang, H.Y. Digital Control of Moving Mirror Motor in Fourier Transform Spectrometer Based on FPGA. Micromotors 2015, 48, 62–65. [Google Scholar]
- Bruce, C.L.; James, W.J.; Steven, H.S. Miniaturization of the thermal emission spectrometer (TES) electronics for the Mars 2001 Lander. In Proceedings of the SPIE’s International Symposium on Optical Science, Engineering, and Instrumentation, Denver, CO, USA, 18–23 July 1999. [Google Scholar]
- Marc-Andre, A.S.; Francios, C.; Christophe, D. ACE-FTS instrument detailed design. In Proceedings of the International Symposium on Optical Science and Technology, Seattle, WA, USA, 7–11 July 2002. [Google Scholar]
- Hou, B.J.; Li, X.Q.; Zhou, Y.F. The Development of Feedforward Plus PID Controller for Linear Motor. Mach. Tool Hydraul. 2009, 37, 41, 56–58. [Google Scholar]
- Zhang, G.; Liu, P.K.; Zhang, B. Design of trajectory tracking controller for precision positioning table driven by linear motor. Opt. Precis. Eng. 2013, 21, 371–379. [Google Scholar] [CrossRef]
- Oboe, R.; Marcassa, F.; Capretta, P.; Chrappan, S.F. Realization of a hard disk drive head servo-positioning system with a voltage-driven voice-coil motor. Microsyst. Technol. 2003, 9, 271–281. [Google Scholar] [CrossRef]
- Oboe, R.; Marcassa, F.; Maiocchi, G. Hard disk drive with voltage-driven voice coil motor and model-based control. IEEE Trans. Magn. 2005, 41, 784–790. [Google Scholar] [CrossRef]
- Xia, X. Research on Technology of Multi-Speed Mode Canning of Interference Spectrometer, 1st ed.; Shanghai Institute of Technical Physics: Shanghai, China, 2014; pp. 26–28. [Google Scholar]
With/Without Feedforward Inputs | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
Without | 0.085 | 0.083 | 0.088 | 0.083 | 0.083 | 0.083 | 0.087 | 0.083 | 0.083 | 0.087 |
With | 0.047 | 0.047 | 0.043 | 0.046 | 0.047 | 0.047 | 0.047 | 0.043 | 0.047 | 0.047 |
With/Without Feedforward Inputs | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
---|---|---|---|---|---|---|---|---|---|---|
Without | 0.0094 | 0.0093 | 0.0097 | 0.0093 | 0.0093 | 0.0093 | 0.0096 | 0.0093 | 0.0093 | 0.0096 |
With | 0.0030 | 0.0030 | 0.0029 | 0.0030 | 0.0030 | 0.0030 | 0.0030 | 0.0029 | 0.0030 | 0.0030 |
With/Without Feedforward Inputs of the Intelligent Algorithm | Speed Measuring Method | VPP | VRMS | Sampling Error | Accuracy |
---|---|---|---|---|---|
With | T method | 0.047 | 0.0030 | 0.001 | 0.0003 |
Without | T method | 0.083 | 0.0093 | 0.001 | 0.0009 |
M method | 0.088 | 0.0140 | 0.056 | 0.0013 | |
T method | None 1 | 0.0102 | 0.000025 | None |
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Huang, Y.; Duan, J.; Guo, Q.; Wang, Z.; Hua, J. Based on the Feedforward Inputs Obtained by the Intelligent Algorithm the Moving Mirror Control System of the Fourier Transform Spectrometer. Electronics 2023, 12, 4568. https://doi.org/10.3390/electronics12224568
Huang Y, Duan J, Guo Q, Wang Z, Hua J. Based on the Feedforward Inputs Obtained by the Intelligent Algorithm the Moving Mirror Control System of the Fourier Transform Spectrometer. Electronics. 2023; 12(22):4568. https://doi.org/10.3390/electronics12224568
Chicago/Turabian StyleHuang, Ying, Juan Duan, Qian Guo, Zhanhu Wang, and Jianwen Hua. 2023. "Based on the Feedforward Inputs Obtained by the Intelligent Algorithm the Moving Mirror Control System of the Fourier Transform Spectrometer" Electronics 12, no. 22: 4568. https://doi.org/10.3390/electronics12224568