چکیده مقاله
Adaptive control involves modifying the control law used by the controller to cope with the fact that the parameters of the system being controlled change drastically due to change in environmental conditions or change in system itself This paper deals with application of model reference adaptive control schemes and the system performance is compared with direct and indirect approaches The plant which is taken for the controlling purpose is the linear level process The comparison is done using different criteria such as plant parameter variation, noise rejection, model structure mismatching, and sensitivity to adaptation gains Simulation is done in MATLAB and Simulink and the results are compared for the same model using different adaptive algorithms
کلیدواژهها
نویسندگان
S.A Aghvami
Department of Electricty and Computer, Payame Noor University, PO BOX ۱۹۳۹۵ ۳۶۹۷, Tehran, IRAN
شیوه ارجاع
Aghvami, S.A,1396,Implementation and comparative study of Model Reference Adaptive Control algorithms for Slow Processes,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران