Adaptive control over ultrasonic cleaning of mining equipment

Abstract

Ultrasonic cleaning is one of the most efficient types of cleaning mining equipment. In order to enhance its energy efficiency, it is required to improve control over ultrasonic cleaning through considering its spacious distribution. This control is based on assessing the condition of a cleaned object in set points to determine duration of the process according to the real contamination of a product. In order to form controlling impact, the authors suggest a new fuzzy controller, which combines features of a 3D fuzzy controller and an interval fuzzy controller of Type 2. This enables taking advantages of both extensions of fuzzy logic – an opportunity to process spacious data through fuzzy expert evaluation. The concept of a controller is based on the 3-D interval fuzzy set of Type 2. The developed controller differs from the traditional one by reduced dimension and reduction of IТ2 FS to IТ1 FS. The rule base remains two-dimensional and is not dependent on the number of sensors. The elaborated methods enable the controller model based on 3-D IТ2 FS for ultrasonic cleaning of mining equipment. Spacious distribution of the process and ambiguity of expert assessments are considered to determine the process course according to the data of ultrasonic sensors.