A MODEL OF HIGH-PERFORMANCE DYNAMOMETER

A narrow frequency bandwidth, strong fluctuations of the gain versus s ignal frequency and sensitivity to disturbances caused by the operatin g environments are the most common factors limiting the applicability of sensors in manufacturing systems. Self-tuning filters represent an efficient means of alleviating these limitations. Since the dynamic pr operties of sensors vary rapidly, a successful implementation of senso rs coupled with self-tuning filters hinges upon accurate, real-time ad justments of these filters. The selection of optimum filter settings, based upon the available distorted output signals from the in-process sensors, poses a difficult problem. In general, the algorithm of self tuning requires a priori information about the sensor and its environm ent, condensed into a form of an analytical model. A systematic approa ch to the analytical Modeling of sensors is proposed. To illustrate th is approach, a comprehensive model of a commercial dynamometer is deve loped and tested.