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Hybrid Computer Methods for Direct Functional Optimization

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2 Author(s)
M. Andrews ; Department of Electrical Engineering, Colorado State University ; G. A. Korn

Control and trajectory optimization involves the minimization of a performance index (PI) of integral form where some optimal control law exists in a dynamic system. In this paper, a hybrid minicomputer with an adaptive random-search algorithm implements an iterative search for the optimal control. The search assumes that some initial control is randomly perturbed and a fast analog computer generates respective PI from the analog response of the dynamic system. An improved PI informs the digital computer to utilize the perturbed control as a basis for the next iteration; otherwise a new perturbation replaces the old perturbation in the next iteration. The search terminates when no further improvements occur.

Published in:

IEEE Transactions on Computers  (Volume:C-24 ,  Issue: 10 )