Auto-tuning controller using fuzzy reasoning to obtain optimum control parameters

摘要

An auto-tuning controller includes a fuzzy resonator for the adjustment of control parameters used in the development of a control variable for controlling the operation of a system to be controlled. A characteristic variable extractor is provided which is responsive to an error signal representative of a difference between a reference value and a controlled variable value output by the system to produce a characteristic variable indicative of the operational state of the system. Based upon this characteristic variable, a fuzzy resonator adjusts the control parameters in accordance with predetermined reasoning rules stored in a reasoning rule memory.