Adaptive-model predictive control of electronic expansion valves for evaporator superheat minimization
| Autor: | Parthiban Arunasalam, Fadi Alsaleem, Arvind Rao, Mehari Tesfay |
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| Rok vydání: | 2017 |
| Předmět: |
Operating point
Engineering business.industry 020209 energy Refrigeration Control engineering 02 engineering and technology 010501 environmental sciences 01 natural sciences LTI system theory Nonlinear system Model predictive control Control theory 0202 electrical engineering electronic engineering information engineering Process control Minification business Evaporator 0105 earth and related environmental sciences |
| Zdroj: | EIT |
| Popis: | In many refrigeration and air-conditioning systems, the automatic controller in electronic expansion valves have been employed as a component responsible for controlling the valve opening so that the superheat at the outlet of the evaporator remains within the desired limits. In most of these controllers, the control parameters are tuned once for a certain operating point and remain unaltered even when the operating conditions change. For a strongly nonlinear plant with a dramatically time varying characteristics, linear time invariant(LTI) prediction accuracy might degrade significantly that the performance of traditional model predictive controller(MPC) becomes unacceptable. This work presents an Adaptive-Model Predictive Control mechanism to address this degradation where the parameters are tuned continuously through recursive estimation and update approaches, making MPC insensitive to prediction errors, so as to achieve the optimal superheat output. |
| Databáze: | OpenAIRE |
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