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Comparison of Control Strategies by the Example of the Cooling Fan Control of a Mobile Machine

  • In order to compare different control strategies the cooling system of a mobile machine has been chosen. The example control problem was to run the cooling system for m control variables and with n≤m correction variables in a way to minimize power in order to save energy and to reduce fan noise while maintaining sufficient cooling. The plant is nonlinear. 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.

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Metadaten
Author:Kai BorgeestORCiD, Peter Josef Schneider
ISBN:978-1-4666-7388-5
Parent Title (English):Handbook of research on advancements in robotics and mechatronics
Publisher:IGI Global
Place of publication:Hershey, PA, USA
Document Type:Part of a Book
Language:English
Year of Completion:2014
Date of first Publication:2014/12/31
Release Date:2015/06/01
Tag:Construction Machine, Defuzzification, Fan Control, Fan Noise, Feedforward, Fuzzy Control, Fuzzification, Mamdani, Model Predictive Control, MPC, Nonlinear System, PI Control, PID Control
GND Keyword:Fuzzy-Regelsystem; Baumaschine
First Page:500
Last Page:526
Urheberrecht:0
research focus :Intelligent Systems / Electronics and Electric Drives
Intelligent Systems / Intelligent Mobility
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