Fast Model Search Control Systems

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Abstract
The use of fast-time models to implement minimum time control policies is considered for two distinct modes of operation. The first case considered is that in which the fast model operates from current process state, or output, towards desired process state, or input. This forward searching model enables estimates to be made of future process behaviour based upon currently applied control signals. The second case considered is that in which the fast model oporates from current input state towards current process state. This backward searching model is shown to provide, on the average, more accurate estimates of future-process behaviour. For high-order systems in particular the mode will allow reduction of system operational errors when fast model speeds are necessarily limited. The use of future input is discussed as n means of further reducing these errors. Included in the paper are some results obtained from simulation of a simple process using both modes of operation.

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