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This paper describes background and design of a model free adaptive Fuzzy Logic Controller. Controller Error Scaling Factor adaptation uses principle of balancing Error and Change of Error actions. Adaptation proceeds only if prescribed set of conditions is satisfied. Controller Scaling Factor for Change of Output adaptation uses weighted average of correction from oscillation index and process steady state gain estimates. Interaction between Scaling Factor of Output adaptation and Scaling Factor of Error adaptation has been alleviated by applying different adaptation speed for the two parameters and by using corrective calculations. The distinctive feature of the tuner design is simplicity. Simulation test results verify tuning properties for set point changes over a range of changes of the process dynamics.

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