W ramach realizacji projektu RID przeprowadzono prace naukowo-badawcze, których wyniki zostały opublikowane jako rozdział książki Automatic Control, Robotics, and Information Processing wydawnictwa Springer (20 pkt).
Kluska J., Żabiński T., Mączka T. (2021) Applications of Computational Intelligence Methods for Control and Diagnostics. In: Kulczycki P., Korbicz J., Kacprzyk J. (eds) Automatic Control, Robotics, and Information Processing. Studies in Systems, Decision and Control, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-48587-0_22
Abstract
This chapter discusses examples of computational intelligence applications in automatics, i.e. methods of designing adaptive single-loop fuzzy control systems in a continuous case and the idea of monitoring and diagnostics of the condition of selected machine parts and technological processes. The first part discusses the concept of adaptive control. It assumes a dynamic plant to be linear, however, not fully known, and shows the methods of designing a fuzzy adaptive controller based on frequency domain stability conditions. Considerations involve direct control systems with a reference model in the system with feedback from output as well as a fuzzy controller with the properties of a non-linear PID algorithm. The second part describes methods of using classifiers for real-time diagnostics for machine part conditions and the implementation of technological processes used i.e. in the aviation industry, including the detection of anomalies. Methods for diagnosing a cold forging process and the degree of mechanical imbalance of a CNC milling machine head are given as examples. The discussed subject is in line with the idea of “Industry 4.0”.
