生物材料疲劳系统中功率放大器的优化控制算法  

Optimized Control Algorithm for Switched Power Amplifier in Biomaterial Fatigue System

作　　者：张志天[1] 黄华[1] 李晋川[2] 邹远文[3] 

机构地区：[1]四川大学电气信息学院,四川成都610065 [2]四川大学建筑与环境学院,四川成都610065 [3]四川大学材料科学与工程学院,四川成都610065

出　　处：《自动化技术与应用》2016年第10期18-22,31,共6页Techniques of Automation and Applications

摘　　要：为了满足生物材料疲劳系统对开关型功率放大器的性能需求,提出一种基于状态空间反馈的优化控制算法。功率放大器的主回路由移相ZVZCS全桥拓扑构成以实现软开关,减小高频开关损耗和电压应力。采用状态空间平均法,建立动态线性开关模型,以感性负载电流为跟踪目标,逐步优化,设计出一种二次型最优伺服控制器。通过辅助仿真和实验数据分析,证明系统具有良好的动态响应和稳态特性。A based state-space feedback optimized control is proposed to meet the requirements of the switched power amplifier performance in biomaterial fatigue systems. In order to minimize high-frequency switching losses and voltage stresses, the soft-switched phase-shifting ZVZCS full bridge topology is introduced to construct the power conversion circuit. According to the state-space averaging analysis, a dynamic linear switching model is established. Using the quadratic optimal rule, a servo controller is gradually developed to track the excitation current on inductive load. Good dynamic response and steady state performance of system is proved through the computer-aided simulation and experimental data analysis.

关 键 词：生物材料疲劳 状态空间反馈 ZVZCS 二次型最优控制 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]