| In modern battlefield, the cruise missile has played an irreplaceable role with its strong lethal and precise targeting ability. The cruise missile is a kind of high-tech weapons with precise targeting ability. At the same time, the cruise missile has a good cost performance and enormous maneuverability, so more and more countries are paying attention to the development of cruise missile. A good control system is of great significance to the precise strike capability of cruise missile. With the development of control theory, it has emerged a large number of excellent control methods. The cruise missile model is very complex, and it has the characteristics of nonlinear and strong coupling. In this thesis, three different control methods are used to design the control system for its flight trajectory.and PID Neural Network control and Multi-dimensional Taylor Network optimal control and control effects are mainly introduced in this thesis. Work about missile static target attacking is also researched into. Advantages and disadvantages of each method are also compared through MATLAB simulation.In this thesis, missile motion equations are established and analyzed under the ideal conditions, which are nonlinear, coupling and of six degrees of freedom. Considering the physical link of the actual flight of cruise missile, the nonlinear steering gear and the rate gyro systems are added in the simulation model. The atmospheric wind disturbance model is established and added in the missile system. The content of this thesis mainly includes:1. The missile dynamics simulation model is set up. respectively under ideal conditions and under the atmospheric wind disturbance model.2. The PIDNN (PID neural network) controlling technique is selected as the first control method and applied in the control system. According to the publishing thesis, the PID neural network controlling technique has a better control effect on the nonlinear systems. Sub-channel control method is designed for each channel by the mechanism of the cruise with PID neural network controlling technique and the whole channel simulation is carried out.3. The new control method of MTN (multi-dimensional Taylor network) is selected as the second control technique In this thesis, the theory of MTN optimal control is firstly introduced. Then the principle of minimum to get the optimal control signal of the controlled object’s model and the conjugate gradient method to optimize MTN control parameters are also introduced. The MTN optimal controller is designed under sub-channel condition and the conjugate gradient method is used to optimize controller parameters. Then the whole channel simulation is carried out.4. System simulation interface is designed by the tool of MATLAB. The control effects of two controllers are compared without the wind disturbance. Engineering wind model is established, and the effects of two control methods are compared under the wind disturbance again. Under the same conditions, compared with PIDNN control and PID control, the simulation results show that the MTN control has the better anti-interference for trajectory control of the missile model established in this thesis under given wind disturbance models. |
