摘要
提出的新的预测控制算法,克服了目前应用较广泛的模型算法控制(MAC)在线计算量大及闭环极点难以配置等不足。仿真研究表明该算法对负载变化、随机扰动及非最小相位系统具有较强的鲁棒性。
A new predictive controller is developed to get rid of disad-vantages in the widely-used MAC, such as the heavy on-line computation anddifficulty of closed-loop pole allocation, etc. Simulation results show that thiscontrol algorithm can provide good robustness for load variation, random dis-turbance and non-minimum phase systems.
关键词
预测控制
极点配置
开环稳定系统
predictive control
model algorithmic control (MAC)
adaptive control
simulation
