Abstract
This paper deals with optimum robust control for an inverter driven oil cooler system of machine tools based on a state space model. An empirical linear first-order model of the oil cooler system obtained by experiments was changed into a state space model suitable for multi-input multi-output optimum controller design. An optimum robust controller was designed to ensure asymptotical stability and robustness against stepwise disturbance and system parameter variation. Effects of two weight matrices in a cost function were observed in detail from experimental results to clarify their trade-off relation. Some experiments were conducted to demonstrate control performance of a designed controller. Experimental results showed that the designed controller had good robustness and fairly good control performance even though abrupt stepwise disturbance addition.
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