# A Fast Calibration Method for Sensors of Atmospheric Detection System
However, the control signal input to the incubator must be tightly controlled in terms of amplitude. Excessive control signals will lead to increased energy consumption or even damage the thermostat. Meanwhile, the cooling and heating of the incubator are controlled by the compressor and the resistor, respectively. The rapid switching of temperature states will cause the compressor to start and frequently stop, resulting in damage. Therefore, the switching frequency of the control signal input to the incubator must be strictly controlled. The existing PID controller design methods cannot temporarily meet the controller parameter design's needs in the calibration system. Without a fast calibration method for temperature sensors in ADS, daily, high-altitude atmospheric detection is questionable. This paper provides a Tube-Air-ADS physics model for the first time, which is used to obtain the system's dynamic transfer function in the temperature calibration process. According to the actual situation of the calibration system, the model combines the Navier-Stokes equation and the energy equation to establish a finite element model. Then, the system is identified by the Sanathanan-Koerner (S-K) iterative method, and the dynamic transfer function is obtained. This paper proposes a Multi-Criteria Adaptive (MCA) PID controller design method. The input control signal amplitude and switching frequency of the thermostat are comprehensively considered to ensure the service life of the thermostat. At the same time, the calibration efficiency of the temperature sensor is improved. Combined with the designed detection circuit precision, this paper also provides a Variable Precision Steady-state Discrimination (VPSSD) method, which further reduces the calibration time of the temperature sensor. In this paper, two major aims are studied: We analyze the mode of temperature transfer and the mechanism of action in ADS. We build a suitable physical model to analyze the dynamic performance of ADS and find a reasonable method to improve the calibration speed. We design an appropriate control strategy under the existing hardware conditions. Combined with the actual system performance and parameters, we comprehensively improve the calibration speed on the premise of ensuring the safety and stability of the system. Compared with existing methods, this paper mainly makes the following improvements:  
* We built a Tube-Air-ADS system and thermostat physical field model, which first obtains the dynamic transfer function of atmospheric sounding system temperature sensor calibration;
* We propose an MCA PID controller design method, which shortens the calibration time to 47.7% compared with the existing method, and at the same time, ensures the safe operation of the thermostat under extreme conditions;
* We present a VPSSD method in temperature calibration, which reduces the calibration time of the MCA PID controller design method by 38.7 s.  
The rest of this paper is organized as follows. System Physics Modeling is presented in Section 2. Section 3 describes the System Control Method used in this paper. The last two parts, Sections 4 and 5, are the evaluation and conclusions, respectively.