The Research For The Nonlinear Control Techniques Of Intelligent Mortar Projectile

Intelligent mortar projectile is smart munition,which is emitted by the body. It is only carried out in the last paragraph of ballistic, with both conventional artillery range far, emission characteristics of high overload, powerful, and using the guidance technology has the advantages of high precision,anti-jamming etc. The control system of intelligent mortars have strong nonlinearity. The traditional design of guided weapon control system in general by the simplified nonlinear small disturbance linearization method, so as to establish the mathematical model for control system. But with the development of modern war, due to the higher request of control accuracy, this method could not be applied well. This paper proposed a non-linear design control technology applied in intelligent control system in the mortar.This article elaborates the control working principle of the intelligent mortars, analyzes its aerodynamic layout of types and characteristics. To increase the flying distance, it is combined with the actual situation of mortars aerodynamic layout of select "-+" type configurations and puts forwards triangle missile foldable wings of "一" glyph are extra designed on the missile, using the method of the former Soviet Union AИИИ to calculate the air of drag coefficient and lift coefficient. We established the appropriate coordinate system, deduced the nonlinear mathematical model of mortars through the relationship of mutual conversion between them, and did our studies using a quaternion number of fast processing technology to determine the mortar flying attitude angles in the no control model. Analysis showed the differences between the algorithm of feedback linearization and the linearization algorithm under the assumption of small perturbations, we proposed that decoupling the nonlinear system then sub-channel controlling it with the method of input-output decoupling feedback linearization algorithm. The control system models of servo loop, pitch and yaw channels were partly established. The servo loop took the use of PID algorithm to correct the control system. In the paper, the pitch and yaw channels’ control system adopted Model reference adaptive control algorithm to guarantee the reliability and stability of the system designed by the feedback linearization method with the uncertain parameters. Finally, in the MATLAB/Simulink environment, we experienced the simulations for the trajectory of uncontrolled intelligent mortars, servo control loop, sub-channel control systems after decoupling and the trajectory of intelligent mortars with controls. The simulation results show that the reliability and flexible control and hit accuracy of the intelligent mortars control system has greatly improved.