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FAULT DETECTION FOR ITERATIVE LEARNING CONTROL OF TIME-VARYING SYSTEMS
FAULT DETECTION FOR ITERATIVE LEARNING CONTROL OF TIME-VARYING SYSTEMS
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机译：超时系统迭代学习控制的故障检测
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摘要
A twin roll casting system includes a pair of counter]rotating casting rolls having an adjustable nip therebetween, a casting roll controller configured to adjust the nip between the casting rolls in response to control signals; a cast strip sensor measuring a parameter of the cast strip and generating strip measurement signals; and an iterative learning control (ILC) controller receiving the strip measurement signals and providing control signals to the casting roll controller. The ILC controller includes a fault detection algorithm receiving the control signals and the strip measurement signals and generating a fault detection signal indicating when a fault condition is detected and an iterative learning control algorithm to generate the control signals. The fault detection algorithm indicates a fault condition when it detects the control signal exceeding an upper control saturation threshold or the ILC controller operating a state that is not guaranteed as stable.
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