• search hit 14 of 32
Back to Result List

PID, Fuzzy and Model Predictive Control Applied to a Practical Nonlinear Plant

  • For the cooling system of a mobile machine with m control variables and with n≤m correction variables different control strategies have been investigated in order to minimize power to save energy and to reduce fan noise with sufficient cooling. The plant is nonlinear and not identified. Three different kinds of controllers have been investigated in several variations, i.e. fuzzy control, PI(D) and model predictive control (MPC). 14 different criteria have been used for evaluation. In many respects a linear controller with fuzzy prediction proved best, in particular the prediction model can handle nonlinear properties of the plant. A problem of advanced control schemes with unidentified plants is the difficulty to prove stability.

Export metadata

Additional Services

Search Google Scholar
Metadaten
Author:Kai BorgeestORCiD, Peter Josef Schneider
Parent Title (English):International Journal of Robotics Applications and Technologies
Editor:Dan Zhang
Document Type:Article
Language:English
Year of Completion:2016
Release Date:2016/08/29
Tag:Construction Machine; Fan Control; Fuzzy Control; Model Predictive Control; Nonlinear System
GND Keyword:Baumaschine; Nichtlineares Regelungssystem; Prädiktive Regelung; Fuzzy-Regelung
Volume:4
Issue:1
Page Number:25
First Page:19
Last Page:43
Urheberrecht:0
research focus :Intelligent Systems / Electronics and Electric Drives
Licence (German):Keine Lizenz - es gilt das deutsche Urheberrecht
Einverstanden ✔
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.