Fuzzy logic control of an automotive engine

A systematic fuzzy logic control design method for control of automotive engine idling speed is discussed. The method uses the direct intelligent control paradigm. The procedure is based on partitioning of the state space into small rectangles called cell groups, and quantization of the states and the available controls into finite levels or bins. Membership functions are then assigned for the state and controls. The transition from one conditional subspace to another is accomplished via a center-point mapping of the cell groups, under the applied action of each if-then rule. The systematic aspects of the procedure refer to the way transitional elements are clustered on the basis of an explicitly defined performance measure. Optimum transitions are selected using a search procedure. The fuzzy rules are generated automatically for transitioning from any initial cell group to the target cell group. A simplified engine model for idling speed control is used as the testbed for development and demonstration purposes.<>