Kabushiki Kaisha Kobe Seiko Sho

Toshiyuki Ueda

Masaki Hamaguchi

Norio Fukuhara

Kazuo Nose

The value of a variable reflecting the operating condition of mechanical equipment is continuously detected as operation condition data. A long period average value of the operating condition data detected in long reference period, and a short period average value of data detected in a short analysis period ending in the present time are calculated. Just how much the short period average value differs from the long period average value is adopted as an index of abnormality and using this index, it is possible to ascertain abnormal operating conditions regardless of the absolute value of the variable detected. The above short period average value, long period average value and standard deviation thereof are applied to a first fuzzy membership function for calculating the degree of stability of the mechanical equipment therefrom. Furthermore, the degree of stability is then applied to a second fuzzy membership function for calculating the amount by which the operating parameter of a control factor of the mechanical equipment must be adjusted in order to achieve a desired degree of stability. Thus the mechanical equipment can be controlled for optimum operation.

Abnormality detection method, stability degree determination method and

The present invention provides a roller mill control method capable of automatically controlling a roller mill which is comparatively difficult to operate for operation in an optimum operating condition, and a roller mill controller for carrying out the roller mill control method. The roller mill controller stores beforehand a roller mill characteristic model representing the relation between changes in the values of the operating condition variables detected by a detecting unit (2) and operating parameters, restrictions on the values of the operating condition variables and the operating parameters, an index of performance for evaluating the values of the operating condition variables and the operating parameters. A Simplex algorithm calculation system (5) included in an optimizing control arithmetic unit (3) calculates changes in the operating parameters by a Simplex algorithm by using the roller mill characteristic model, the restrictions and the index of performance to select the values of the operating condition variables detected by the detecting unit (2) so that the index of performance is optimized under conditions meeting the restrictions, and then, a main control unit (4) controls the roller mill on the basis of new operating parameters.

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Takasago, Japan

Toshiyuki Ueda