# A Fast Calibration Method for Sensors of Atmospheric Detection System
## 5 Conclusions  
For the problem of slow calibration speed of the temperature sensor in ADS, this paper proposes a fast calibration method for the sensor. The proposed MCA PID controller design method and VPSSD method optimize the established Tube-Air-ADS dynamic model's calibration process. The goal of optimization is to maximize the calibration efficiency of the temperature sensor with the premise of ensuring the safe and stable operation of the system. This paper presents the Matlab/Simulink simulation results of the proposed controller. It is compared with the simulation results of the original system and other control strategies. The current comparative analysis results show that the proposed method effectively improves the calibration efficiency, and the total calibration time is reduced to 47.6% of the original. The maximum value of the controller output signal of the recommended method is 13.09 \({}^{\circ}\)C, which produces an overshoot of only 0.7%. At the same time, the minimum time interval for its signal direction change is 11.6 s. Therefore, it effectively ensures the safe and stable operation of the system. The following is a summary of the novelties and contributions of this work: We build the Tube-Air-ADS physical model, which provides the possibility to obtain the dynamic transfer function of the ADS temperature calibration process. Based on the existing system hardware, the PID controller parameter design method and VPSSD method proposed in this paper can not only improve the calibration efficiency but also ensure the safety and stability of the system. Our future work will focus on the practical and extended applications of the fast calibration method, as well as more in-depth research and experimental verification of the mechanism of the sensor calibration process itself.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Temperature** & **Original (s)** & **PID (s)** & **MCA (s)** & **TFB (s)** & **Fuzzy (s)** \\ \hline \(-\)80\(\mathbf{\
abla}\) & 163.1 & 99.5 & 84.7 & 35.6 & 80.5 \\ \(-\)70\(\mathbf{\
abla}\) & 183.9 & 104.8 & 87.7 & 36.5 & 118.9 \\ \(10\mathbf{\
abla}\) &  
**Author Contributions:** Conceptualization, A.C. and D.Z.; methodology and software, A.C. and D.L.; validation, A.C. and R.N.; investigation, R.N. and Z.L.; writing--original draft preparation, A.C. and D.L.; writing--review and editing, D.L.; visualization, A.C.; funding acquisition, D.Z. All authors have read and agreed to the published version of the manuscript.  
**Funding:** This research was funded by the National Natural Science Foundation of China (Grant No. 62203056; No. 61873021; No. 61827901) and the Fundamental Research Funds for the Central Universities (Grant No. YWF-22-JC-11).  
**Institutional Review Board Statement:** Not applicable.  
**Informed Consent Statement:** Not applicable.  
**Data Availability Statement:** Not applicable.  
**Acknowledgments:** The authors thank the support and help of the Key Laboratory of Precision Opto-mechatronics Technology (Beihang University).  
**Conflicts of Interest:** The authors declare no conflict of interest.