Firstly, analysis product’s customer demand correlation, function correlation, geometric correlation, structure the corresponding correlation matrix, distribute the respective weighting factor, and then establish an integrated correlation matrix. Application of fuzzy clustering, the establishment of cluster map, the program has been divided into different modules. Based on information entropy theory, select product’s design and manufacturing complexity, cost, maintenance as the optimization objective, establish mathematical evaluation model of module division. Evaluating a number of options get from the fuzzy clustering method, which gain the most reasonable module division program. Finally, taking the seat frame of the Remote Control Weapon Station(RCWS) for example, verify the validity and reasonableness of the evaluation method.
The article first systematically expounds the working principle and deficiencies of spring buffer, spring - hydraulic buffer, compressible liquid buffer, and other typical buffers. And then detailed introduces the generation, working principle and outstanding features of new material buffer. Finally, according to the characteristic of traditional buffer that performance parameters are immutable, presents a soft mounting buffer that performance parameters can be changed of intelligent, provides theoretic and technological reference of Overhead Weapon Stations for its development design and modification upgrade in China.
Servo system is a very important part of Remote Control Weapon Station , its accuracy has considerable impact on the performance of armament system. This article analysis the stucture compositon of the machine gun RCWS servo system, and elevating servo system is simplified and model is assumed. Virtual prototype model is built using Admas though adding constraints and loads; Elevating servo system model is built using Admas and Matlab/Simulink; Simulation analysis for tracing precision is conducted in the process of firing, tracing precision error and maximam removing velocity are got ,and that meet the general requirements of system design ,which verify the credibility of the model. This model has remarkable thoery and pratical meaning in the study of RCWS servo system design.
Nowadays, RWS(Remote Weapon Station) has been in level of development, and will be launch a series of test. On the traditional type approval test , the dynamic parameter tests such as muzzle vibration, muzzle velocity, vertical target density are compulsory. They determine the battle effectiveness of the RWS. What’s more, the traditional test methods can hardly meet the requirements of RWS’s dynamic parameter tests. Based on traditional dynamic parameter tests, some scientific , feasible test scheme are put forward : muzzle vibration is tested by use of Hall sensor, muzzle velocity is tested by use of laser-screen target and data acquisition, vertical target density is tested by use of sky-screen target.
The Overhead Weapon Station(OWS) has a system composed of complex types, and its interactive subsystems make it difficult to establish the optimization model of multidisciplinary collaborative simulation. In this paper, Adams was used to establish OWS mechanical system model and Simulink to the control system model, which were integrated in multidisciplinary design optimization platform ModelCenter. What's more, taking OWS stabilization accuracy as objective function, the first order difference model was used in sensitivity analysis of control system proportion coefficient and integral coefficient. Based on design exploration tool, optimization design of the parameters was carried out. The simulation results show that, the multidisciplinary collaborative optimization model of OWS stabilization accuracy has a short design period and high calculation efficiency, and provide technical support for optimization design of OWS multi conditions and structural parameters.
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