Research On Load Disturbance Suppression Of A Multi-barrel Rocket Launcher Based On RBF Parameter Tuning

Modern warfare has extremely high requirements for the speed and accuracy of multiple rocket launchers.However,during the work process,it often needs to bear the impact of unbalanced moments,a wide range of moments of inertia,and load disturbances,all of which affect the system's control accuracy and Fast response performance.Only by improving the robustness and rapidity of the rocket launcher position servo system can it meet the needs of modern warfare.Therefore,it is necessary to study the load disturbances of the rocket launcher position servo system during work.It is necessary to select a multi-barrel rocket launcher as a research template,and explore the following aspects on the characteristic of anti-load disturbance.The mechanical structure of multiple rocket launchers and the causes of load disturbances in the servo system were explored in depth,and the structure and working principle of the multiple rocket launcher position servo system were further analyzed.Based on this,a position servo system was established using vector control methods Mathematical model.Aiming at the problem of anti-load disturbance of the position servo system,many mainstream control methods at home and abroad have been studied.Finally,the ADRC controller was selected.The differential tracker is designed to play a transition role on the system input.The extended state observer can observe the "sum" disturbance in real time.The non-linear control law combines the system state error with the total disturbance to generate the control quantity.Through the simulation of Simulink digital model,the results show that compared with the traditional PID control,the active anti-interference control has a significant suppression effect on the load disturbance.Although ADRC has a strong anti-interference ability,the controller has too many parameters to be determined and the calculation is complicated,which adds a great obstacle to the practical application of the ADRC control scheme.Aiming at the difficulty of parameter setting,an RBF neural network based on LM algorithm was proposed.Its network structure can be optimized online for parameter adjustment of ADRC controller.This makes full use of the fast convergence of the LM algorithm and the excellent approximation ability of RBF neural networks to nonlinear functions.Simulink digital simulation experiments show that compared with the traditional ADRC controller,the LM-RBF ADRC controller greatly improves the agility and anti-interference ability of the control system.Finally,a simulation experimental platform for the rocket launcher position servo system is set up.Perform a series of performance index tests on ADRC and ADRC controller based on LM-RBF neural network.The results show that both control schemes can meet the performance indicators.At the same time,the LM-RBF neural network-based adaptive disturbance rejection controller has stronger resistance to disturbance and faster response speed,which fully proves the feasibility and superiority of the control scheme.