摘要
针对输入更新频率和输出采样频率均不相同的多速率采样系统,提出一种多速率广义预测控制算法.通过采用在系统周期内根据不同的采样时刻构造扩展模型序列的方法,有效地解决了由于多速率采样而引起的因果约束问题.在此基础上,对算法的闭环稳定性进行了分析,仿真结果证明了算法的有效性.
A generalized predictive control algorithm is proposed for multirate sample systems with different control updating rate and output sampling rate. By constructing a chain of new lifted models based on different instant during every frame period, causality constraint problem caused by multirate sample is solved effectively. The stability of the closed-loop system is analyzed further, and simulation results show the effectiveness of the algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2005年第7期827-829,833,共4页
Control and Decision
基金
国家自然科学基金项目(60074004)
山东省自然科学基金项目(L2004G01).
关键词
广义预测控制
多速率采样系统
因果约束
闭环稳定性
Closed loop control systems
Computer simulation
Constraint theory
Sampling
System stability
