PID Temperature Control Algorithm Based on GNSS-R Antenna

With the continuous development of GNSS-R technology, its application scope is also expanding. At present, quite fruitful results have been achieved in moving target detection, remote sensing of Marine and land surface parameters. Power monitoring is very important for GNSS-R, and the temperature change of receiver antenna is an important reason affecting its power. Aiming at the problem that the antenna temperature of the receiver cannot be accurately controlled, this paper proposes a fuzzy neural network PID control algorithm through research, and compares the algorithm with the conventional PID algorithm by simulation. The results show that the step response curve of the system under the control of this algorithm can quickly reach the steady state value. And the system test, can be the constant temperature system temperature control within +/- 0.2 degrees C, to meet the high precision temperature control requirements, and the output noise power is stable.