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机构地区:[1]上海海洋大学工程学院,上海200090 [2]兰州理工大学电气与信息工程学院,兰州730050
出 处:《机械工程学报》2008年第10期89-95,共7页Journal of Mechanical Engineering
基 金:国家科技攻关计划(2002BA901A28);甘肃省省长基金(GS015-A52-012)资助项目。
摘 要:真空退火炉中温度的精确控制是一个多变量控制问题。为实现退火温度的精确控制,以真空退火炉现场实际采集的数据为基础,辨识出真空退火炉温区温度的二阶滞后模型,提出一种二阶滞后系统的多变量预测函数解耦控制算法。将多变量系统的解耦控制问题化简为若干个单变量系统的预测函数控制,采取分散优化策略代替整体优化,利用预测函数控制算法的特点,引入基函数增加了设计的自由度,减少了在线计算量,使参数设计和算法过程求解大为简化,得到一个解析的控制量计算方程,实现退火温度二阶滞后系统的多变量预测函数解耦控制。仿真结果表明,控制方法优于传统或改进的PID控制系统。将该控制方法应用于实际的φ2100×2100真空退火炉退火温度控制系统中,取得了很好的控制效果。The accurate control of the annealing temperature is a multiple-input-multiple-output (MIMO) control problem in vacuum annealing furnace. In order to control the annealing temperature accurately, the second order plus time delay models of every temperature region are identified based on the date gathered from the vacuum annealing furnace scene. A new predictive function decoupling control algorithm for the second order plus time delay MIMO systems is proposed. This algorithm can decompose the decoupling control problem of an MIMO system into predictive function controls (PFC) of several single-input-single-output (SISO) systems. The decentralized optimization method is adopted to deal with coupled variables instead of the whole optimization. Utilizing the characteristics of PFC, the introduced base functions increase freedom of design, reduce the online calculation amount significantly, and thus efficiently simplify parameter design and calculation load. Then, an analytical control equation can be derived from the new PFC algorithm. The new PFC algorithm can solve predictive function decoupling control for the second order plus time delay MIMO systems. The simulation results show that the proposed control system is better than the traditional or modified PID control system. The proposed control system is applied to the control of annealing temperature in practical vacuum annealing furnace ( φ2 100×2 100), which is efficient and effective.
关 键 词:真空退火温度 建模 多变量系统 预测函数解耦控制
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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