摘要
针对面向工业现场的自适应控制系统存在的异构多传感信号统一处理困难的问题,提出了一种基于动态数据融合算法的现场自适应控制应用系统。采用四层数据处理算法,实现了异构控制变量间的数据提炼、自模糊推理、多维群估计和动态包机制策略,提高了多维系统的控制精度和效率。在I2C总线架构下,采用单MCU驱动多传感器模式,增强了硬件系统的可重构性和鲁棒性,并降低了系统维护升级的成本。
An adaptive control system was made to fulfill the uniform processing for various siDaals from multi-sensors. An algorithm based on dynamic data fusion was applied in the adaptive control system. To improve the system＇ s controlling precision and efficiency, the algorithm was consisted of four steps, which were data mining, normalizing fuzzy reasoning, multi-dimensional group estimation, and dynamic packet mechanism. A one-M CU-to-multi-sensor method and I2C bus interface were given to improve the system＇ s reconfigurable and decrease the updating cost.
出处
《组合机床与自动化加工技术》
2006年第12期48-50,共3页
Modular Machine Tool & Automatic Manufacturing Technique
基金
天津市应用基础研究计划(06YFJMJC00900)
