Abstract
This paper is concerned with the application of Iterative Learning Control (ILC) to a class of process systems that can be approximated as a first order plus dead-time model. The P-type ILC with Previous Cycle Feedback (PCF) and Current Cycle Feedback (CCF) arc investigated. It is shown that ILC with PCF may not be suitable for the above mentioned system due to the large initial tracking error, which in turn results in control signal saturation, and thus degrades the control performance. On the other hand, ILC with CCF performs much better but the appropriate gain has to be searched by trial and error. To overcome this difficulty, P and PI-type ILC which are based on well established auto-tuning schemes are proposed to set the learning control gains. Experimental studies on the level control of a coupled-tank system verity the effectiveness and implementability of the proposed ILC algorithms
Published Version
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