Real time predictive control of generating system using hybrid computer and a fast time adaptive model Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7d278x14j

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  • A system consisting of two d-c generators, one exiting the other, is controlled with an EAI 690 hybrid computer in an on-line operation. The hybrid computer works as a predictive controller with an on-off actuating signal. A fast-time, second-order model is used to determine the switching time, and a small linear region is used to avoid limit-cycling. A predictive control system of this kind has a time optimal response when the controlled system is linear, stationary and of second order. Since none of these conditions are satisfied, the response is only quasi-optimal. To improve the system performance an adaptive second-order model was used. A parameter estimator calculates the gain and the equivalent time constant of the system and feeds these values into the model. The response was recorded for sudden load changes and for build-up from minimum output to normal voltage. In all cases the predictive control technique worked well, but small transient oscillations were unavoidable in the linear region. Three different secondorder models with fixed parameters were used, but none of the resulting responses were as good as when the model was adaptive.
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  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2014-01-29T14:10:45Z (GMT) No. of bitstreams: 1 HeuchKnut1971.pdf: 602407 bytes, checksum: cb0323ba8c88464609ee46acb4f1168c (MD5)
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