Cabin Opening Position Estimation And Submunition Dispersing Method Of Dispenser

The remote airport dispenser is mounted by an aircraft and launched long distances away from the theater,then it can flight to the top of the target airport autonomously,open up and throw out the submunitions to block the target airport,effectively limiting the takeoff of enemy air force aircraft.It has become an important means of fighting for air supremacy in modern warfare.The combat effectiveness of a dispenser depends mainly on the spread of the drop poi nts of the submunitions.The drop position of the submunition is closely related to the flying state of the dispenser during opening,the submunition scattering technique and the external environment.Therefore,in order to increase the blockage probability of the dispenser to the airport,cabin opening position estimation and submunition dispersing method of dispenser is dissertated.Firstly,a detailed research status of dispensers at home and abroad is dissertated in this paper to analyze the key issues in controlling the spread of submunitions.Based on this,the key technologies about the dispensing control of dispensers' submunitions is investigated.A movement mathematical model of the submunition is established.By analyzing the loading method and motion process of the submunitions,submunition movement mathematical models under ideal meteorological cond itions and wind conditions are established respectively,which provided a basic model for subsequent submunition scattering technology research.According to the apparatus of the dispenser,the dispenser position and pose calculation method based on INS/TV seeker integrated navigation system is studied.The state equations and measurement equations of the INS/TV seeker are established,and the Extended Kalman Filter is designed.The results show that the navigation deviation using the integrated navigation of INS/TV seeker c an converge quickly and the filtering accuracy of the EKF can meet the navigation requirements.In order to quickly predict the submunition placement,BP neural network is used in combination with numerical target experiment data to train,and then the BP neural network obtained by training is used to quickly predict the submunition drop point.The results show that the rapid prediction method of submunition drop based on BP neural network can quickly and accurately predict the dropping points under the current state of the dispenser.Finally,in order to correct the influence of factors such as wind disturbance and self-deviation on the submunition drop point,the dispersal correction control method for the dispenser is investigated.The blockage probability of the dispenser is calculated by the method of probability integral,and the degree of influence of various factors on the submunition drop point and blockage probability is analyzed,then the main factors are selected for predictive correction control.The results show that the use of correction control can improve the submunitions' errors under initial launch conditions,submunition damage performance errors,structural errors and the blocking probability in windy environment.