Design And Simulation Of Electro - Hydraulic Servo System For Weapon Balance And Location

With the development of weaponry system and improvement of military strike capability requirements, the diameter and aspect ratio of artillery barrel is increasing. At the same time, this also makes the effects of flexible features and unbalanced characteristics to system performance more prominent for barrel’s precise positioning control, one of the key issues which need to be resolved is the balance control of imbalance force, which is induced by the barrel’s unbalanced mass.This paper takes a weapon balancing and positioning servo system as the research object, and studies the model identification and control strategy of the system.The main work completed includes the following aspects:Firstly, the structure and operation principle of a weapon balancing and positioning electro-hydraulic servo system is analyzed, and the composition and working principle of the hydraulic system is introduced. Moreover, derive mathematical model of the system, analysis the system’s nonlinear factors, which laid the foundation for the next step of system identification and control research.Then, this paper studies the off-line identification scheme of the system. Firstly, it uses RBF neural network for system’s off-line identification. For RBF neural network parameters are not easy to identify problems, it proposes RBF neural network identification method based on particle swarm optimization. Through modeling simulation results, the final choice of offline identification scheme is RBF neural network based on Particle Swarm Optimization, which can provide the initial parameters for the line identifier of positioning controller.Furthermore, it designs balancing controller and positioning controller. Balancing controller uses the traditional PID controllers, positioning controller uses single neuron ADRC based on online identification. Simulation results show that:Balancing controller can balancing weight torque real-time, positioning controller can achieve the parameters of single neuron controller adjust online, and it also has stronger anti-interference ability and stability.Finally, the system’s hardware and software debugging are designed and experimental studies are conducted on the balancing and positioning servo system.The experimental results verify the correctness of the theoretical analysis and simulation studies, offering a theoretical support and guidance to balancing and positioning control of unbalanced barrel.