Design And Implementation Of Gyro-TWT Control And Protection System

In the rapid development of military and space technology,radar tracking,electronic countermeasures,and communications technologies play an extremely important role in the national defense of a country.The speed of development of millimeter-wave technology reflects the scientific and technological strength of a country,and the high-power millimeter wave source The research is the focus and difficulty of the whole millimeter wave technology.Because of its relatively high output power and wide relative bandwidth,the Gyro-TWT has attracted a large number of scientists to conduct research.There are more and more devices that need to be controlled in the process of testing and application of the Gyro-TWT,and the resulting failures are various.It is necessary to design a system to complete the control and protection of the Gyro-TWT equipment.The main work of this article is:First,the hardware composition of the control and protection system is analyzed.Combined with the workflow of the Gyro-TWT control and protection system,three functional requirements of the control and protection system are proposed: control function,protection function,and fault diagnosis function,and a target is established for the realization of the system.Secondly,there are many devices that need to be controlled in the work process of the control and protection system and the real-time requirements for control are high.The control and effect display methods are designed for the equipment in the system by TCP and VISA,and multiple devices are simultaneously controlled by the multi-threading technology.Thirdly,the abnormal situations in the control and maintenance system are complex.There are two types of operator misoperation and abnormal equipment operation status.Protection strategies are designed for two types of abnormal conditions.The host computer sends the protection parameters saved in XML to the PLC through Prodave to complete the configuration and perform the protection operation.Then,a fault diagnosis model based on Bayesian network is designed for the problem of too much uncertain information in the control system.In the process of model building,using the particle swarm optimization algorithm embedded with genetic algorithm can better establish the Bayesian network topology.Finally,the system designed for this article is tested for control protection and function verification and real-time and reliability testing.The test results show that the system function and performance meet the requirements.