Parameter Estimation Using Microprocessors and Adaptive Random Search Optimization

Abstract
An optimization procedure is presented which can be used for off-line system parameter estimation. The technique utilizes a model reference adaptive control configuration and an adaptive random search to identify the parameter values for an arc voltage control system of an automatic welding process. An 8-bit microprocessor is used to acquire data from the system, and a microprocessor development system performs the optimization routine.

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