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Comparison of Control Strategies by the Example of the Cooling Fan Control of a Mobile Machine
Abstract
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]). Fourteen different criteria have been used in this chapter 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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