作者: Daniel Eduardo Rivera Flores , None
DOI: 10.1016/S1697-7912(07)70240-6
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摘要: This paper describes, in tutorial fashion, an integrated identification and control design methodology that begins with dynamic modeling from plant data concludes parameter settings for high performance PID controllers. By integrating controller design, the method displays functionality is often demanded by practicing engineering community. The major steps this are: experimental high-order ARX estimation, control-relevant model reduction leading to models comply IMC-PID tuning rules. When a persistently exciting input applied, estimation consistent, which makes it attractive intermediate purposes; furthermore, low computational effort associated means simple statistical tools (such as crossvalidation) can be used efficiently determine suitable structure without substantial user intervention. illustrated case of delayed subject disturbance displaying significant drift.