Gyro-TWT Filament Heating Control And Protection System

Gyrotron travelling wave tubes(gyro-TWTs)is a device with important applications in military technology,millimeter wave communication and other fields.Gyro-TWT must undergo filament conditioning during the hot-test experiments,and need to be periodically energized during storage.Conditioning pretreatment is a process in which the cathode filament is heated to provide a suitable temperature for the emission of electrons,and then the gas excited by the material near the cathode due to high temperature is absorbed by the titanium pump,so that the whole tube can obtain a stable operation.Storage treatment is a regular maintenance process for qualified gyro-TWTs,and regular filament heating can ensure stable performance.At present,the conditioning process and storage process of the gyro-TWT involves manual operation,which has great uncertainty and waste a lot of time.After research and literature review,there are no reliable instruments or equipment have been found to achieve the required functions.In view of the above problems and needs,this thesis designs a gyro-TWT filament heating control and protection system.This system can greatly shorten the conditioning process of the gyro-TWT and provide a reliable technical support for the development of highperformance gyro-TWT.The main research results of the thesis are as follows:1.The selection of the relevant constant-current power supply module is based on the maximum filament current of the cathode filament,and add the corresponding data acquisition module according to the inherent cold-resistance and hot-resistance parameters of the filament,and then add the titanium pump power supply according to the requirements of heating the filament to collect the current and voltage data,use the software platform to interconnect each functional module and collect relevant data information.2.For the system software platform,Lab Windows/CVI is used as the tool,and the issue of module data transmission during the filament heating process is solved through the TCP/IP communication protocol and the internal communication protocol of each hardware module;The filament current increases in steps,and the incremental PID control is used to control the output of the filament current more precisely.3.A large amount of data generated during the experiment is automatically saved,and the system status parameters at each moment are saved as Excel files with time as a label;for a large amount of historical data,Python is used to regularize the data,and according to the time period selected by the user to display the data curve,on this basis,the normalization method is added to make the data better show its volatility.4.In view of the slight jitter in the collected data,Kalman filtering is used to optimize the data to make the data more stable and reliable,and reduce the probability of the system misjudging the operating state according to the parameters;The gyro-TWT for storage is regularly energized,and selecting different channels through the host computer can change the conduction state of the solid state relay of the corresponding channel,and transmit the current to different gyro-TWTs to ensure the integrity of the gyro-TWT function.