摘要
针对过程工业中中小型快速系统的过程控制问题,以ARM与浮点DSP双核控制器OMAP—L137为核心,通过硬件系统和软件系统配合,设计并实现了面向先进控制的嵌入式通用平台。以实时性为目标,将预测控制算法分块,分别对预测模型、约束处理和在线求解算法各块进行研究。提出了针对嵌入式计算速度和存储量有限等问题的解决方案,并将改进后的算法在嵌入式平台中实现。通过对相关模型的测试,结果表明:系统具有高速、高控制精度等优良性能。
To solve the process control problem for small and medium-size fast system in process industries, a common platform for advanced control is designed based on OMAP-L137 （ ARM and floating point DSP double- core processor） ,with the hardware and software system. For real-time purpose ,the predictive control algorithm is divided into three blocks ,which are predictive model, constraint handling and on-line solution. Solution scheme for problems of embedded computing rate and limit storage capacity are presented. The improved algorithm is realized on the embedded platform. The test of relevant model demonstrates that the system has good performance of high speed and high control precision.
出处
《传感器与微系统》
CSCD
北大核心
2012年第8期111-115,共5页
Transducer and Microsystem Technologies
基金
国家"863"计划目标导向项目(2009AA04Z154)
关键词
嵌入式系统
预测控制
算法实现
embedded system
predictive control
algorithm implementation
作者简介
段俊（1986-），男，河北阜平人，硕士研究生，研究方向为嵌入式系统以及先进控制。
