摘要
针对无线传感网络(WSN)节点温室环境模拟试验系统中温湿度的强耦合特性,提出了一种基于动态矩阵控制算法的自适应解耦方法。通过前馈补偿措施消除温度和湿度通道间的相互影响,设计一种基于加权方式的自适应解耦算法,实现了不同工况下耦合参数的在线调整,从而有效克服了模型严重失配对控制精度的影响。仿真和试验结果表明,该自适应预测解耦方法与传统PID控制算法相比,大大提高了系统的控制性能。
In view of the strong coupling between temperature and relative humidity in the greenhouse simulation system,an adaptive decoupling method based on dynamic matrix control was proposed.Taking the measure of feedforward compensation to eliminate interaction between channels of temperature and humidity,an adaptive decoupling algorithm by weighting was designed.The proposed method can adjust the decoupling parameters online under different operating modes,effectively overcome the effect of model severe mismatch to control accuracy.Compared with the traditional PID control,simulation and experimental results both indicated the proposed strategy greatly improved the control performance.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2012年第1期192-196,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家高技术研究发展计划(863计划)资助项目(2006AA10Z258)
江苏高校优势学科建设工程资助项目
关键词
温室
温湿度控制
动态解耦
动态矩阵控制
自适应算法
无线传感网络
Greenhouse
Temperature and humidity control
Dynamic decoupling
Dynamic matrix control
Adaptive algorithm
Wireless sensor network
