Open AccessEffects of Plant Identification on the Generalized Predictive Controllers Design
Author(s) -
Emil Garipov
Publication year - 2016
Publication title -
information technologies and control
Language(s) - English
Resource type - Journals
eISSN - 2367-5357
pISSN - 1312-2622
DOI - 10.1515/itc-2017-0011
Subject(s) - toolbox , model predictive control , identification (biology) , control theory (sociology) , system identification , computer science , control engineering , control (management) , engineering , artificial intelligence , data mining , botany , biology , programming language , measure (data warehouse)
The effects of the estmated plant models accuracy on the control system signals quality after generalized predictive controllers design are studied in the paper. Two identification approaches are used for different in structures discrete-time models – by optimization procedure in Optimization Toolbox based on the plant step response as a standard deterministic plant characteristic and by functions in System Identification Toolbox after experiments with random signals on the plant. The generalized predictive controllers are design according to the estimated models. The processes in the simulated control systems are analyzed concerning the effects of different kind plant models on the designed controllers.