TK776 : Analysis and Compensation of Bounded-Constant Delay Times in Networked Control Systems (NCSs) Using Robust Predictive Method
Thesis > Central Library of Shahrood University > Electrical Engineering > PhD > 2020
Authors:
Farshid pour Alizadeh Moghadam [Author], Hossein Gholizade-Narm[Supervisor]
Abstarct: In this thesis, analysis and compensation of time delays in networked control systems is considered. The research frxamework consists of two stages. The first stage is dedicated to the analysis and modeling of time delay in networked control loops in which, the time delay is modeled as constant-bounded and it’s higher and lower bounds are obtained. In the second stage, the appropriate compensator is designed baxsed on the results of the first stage. For analysis and modeling of time delays, the networked control systems are considered that specifically use Profibus and Fieldbus networks. The compensation method used in this research is baxsed on the robust model predictive control. The proposed compensation algorithm is developed in such a way that includes the model uncertainty too. It will be proved that the proposed algorithm ensures the stability of the system in the presence of model uncertainty and constant-bounded time delays. furtheremore, in order to compensate time delay and attenuate disturbance, the robust model predictive control algorithm is developed for systems including time delay and input disturbance. The simulation results will show that the proposed algorithm is effective in simultaneously compensation of constant-bounded time delays and model uncertainty. Also, the simulation results for systems with disturbance input, will show that the developed algorithm can reject disturbance.
Keywords:
#Time Delay #Model Predictive Control #Linear Matrix Inequlities #Uncertainty Polytopic Keeping place: Central Library of Shahrood University
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