摘要
以双喷嘴挡板伺服阀为研究对象,确定6个动态参数为待寻优参数,根据快速性和稳定性的优化目标,建立伺服阀动态参数优化模型。优化模型运用混沌粒子群优化算法对伺服阀的动态参数进行寻优,得出一组最优解。通过对寻优前后数据的MATLAB仿真对比分析,验证了优化模型和优化方法的有效性。
With twin flapper-nozzle servo valve as the research object,six dynamic parameters were selected to be optimized.According to the optimization objectives of rapidity and stability,dynamic parameter optimization model of servo valve was constructed.Chaos particle swarm optimization(CPSO)algorithm was used in the optimization model,the dynamic parameters of servo valve were optimized,and a set of optimum solutions had been obtained.By comparing simulation data of the dynamic parameters of servo valve before and after optimization,the effectiveness of the optimization model and optimization method was verified.
出处
《武汉科技大学学报》
CAS
北大核心
2015年第6期440-442,共3页
Journal of Wuhan University of Science and Technology
基金
国家自然科学基金资助项目(51475338)
