Research On Co-simulation And Control Technology Of A Certain Type Of Artillery Shell Coordinator

Medium and large caliber artillery,with long range,high precision,great power,good mobility,quick counterattack ability and long life circle,is the main combat unit in the battlefield.The performance of autoloader which is an important part of modern caliber artillery decide the fire speed of the gun.The technology of autoloader design in China is gradually becoming mature.However,it is not been a long time since the beginning of research.Compared with the advanced autoloaders of advanced artilleries in the world,the autoloaders in our country have the shortcomings of low degree of automation and low loading speed.By designing and applying advanced control technology,the control effect of projectile coordinator's working process is improved and guaranteed.The dissertation takes a certain type of projectile coordinator as the research object.And focus on the multi-disciplinary coupling system of mechanical structure,electrical control and hydraulic transmission.With the help of co-simulation of varieties of software,the research of projectile coordinator control technology is taken by combining with the theories of multi-body dynamics,sliding mode control,adaptive control and neural network,and the theoretical and experimental basis is provided for solving the key problems in autoloader system:(1)The basic constitution and working process of an artillery projectile autoloader system are explained in detail.And a dynamic model is built by analyzing the dynamic characteristics of the system.(2)The hydraulic principle of the servo valve and valve-controlled asymmetric cylinder is analyzed and the hydraulic model of the projectile coordinator system is built.Various controllers such as back-stepping robust,adaptive robust and neural network robust are designed to obtain better results in view of load changes,nonlinear force,external disturbances,input saturation and friction.(3)The hydraulic model is built on the AMESim and checked by the experimental system.The algorithm controller is equipped on the MATLAB and verified by co-simulation technology.The precise mechanical model is established on the ADAMS to improve the degree of simulation fitting the actual model by co-simulation technology.(4)An experimental platform is established and the signal can be processed by the designed low-pass filter.The controller is loaded through the PLC module to verify the algorithm.The superiority of the neural network adaptive robust algorithm is verified by comparing with PID control results.