Research On Control Strategy Of An Active Protection System Based On Optical Fiber CAN

With the continuous development of modern warfare,air strikes have strong lethality in wars.Therefore,perfecting the air defense system is particularly critical,and the research of active protection system has important significance.In this paper,the active protection system with interception unit composed of rocket launchers is taken as engineering background.In order to solve the problem of restricting the accuracy and rapid response of the multi-servo system of the rocket launcher,this article designs a long-distance communication network for the active protection system,and through the design of the control strategy of the rocket launcher position servo system,realizes rapid positioning control under external interference and data perturbation.The research work of this paper mainly focuses on the following aspects:(1)This paper researches the overall design project of active protection system.Including the overall plan of the system communication network and the basic composition and working principle of the rocket launcher servo system.The PMSM model is derived based on the control method,and the mathematical model of the rocket launcher AC position servo system is established.And analyze the non-linear and uncertain factors that affect the system.(2)Analyzing the characteristics of CAN communication,through the transformation of the CAN bus physical layer,a CAN bus signal transmission scheme using optical fiber as the transmission medium is proposed.Combine the advantages of CAN bus and optical fiber transmission,design the optical fiber CAN bus hub.Introduce its working principle and present the specific circuit diagram.The transmission of CAN signal through optical fiber realizes longdistance communication.Analyze the network delay based on CAN-optical communication and compare it with the communication network used before.(3)Design the position loop controller of the rocket launcher based on the theory of active disturbance rejection control.In order to simplify the parameter tuning process,the wavelet neural network is introduced into the auto disturbance rejection controller to realize the online tuning of the error correction gain coefficient in the extended state observer.The PSO-LM combined training algorithm is used to optimize the learning process of wavelet neural network,so that the improved position loop auto disturbance rejection controller has faster response speed and steady-state control accuracy.(4)A semi-physical simulation experiment platform of the active protection system is built to simulate two rocket launcher servo system and the control strategy of the active protection system designed in this paper is verified by taking elevation control as an example.The experimental results show that the communication network has high real-time performance,the control strategy can meet the performance indicators of the system,and the system design scheme is correct.