Modern Methods Control and Diagnostics of Hoisting-Machines with Application of Artificial Intelligence Methods

摘要

The paper present’s an analysis of the possibility an application of chosen artificial intelligence methods in control, automatics and diagnostics systems of hoisting-machines The analysis is limited to: fuzzy logic control, genetic algorithms, and modern neural networks II and III generation methods. These methods assure realization of complicated algorithms a control of hoisting -machine with assurance of energy-saving operating conditions, monitoring of exploitive parameters, and predictive diagnostics of technical state a hoisting -machine, reducing a number of damage states. In paper present’s an idea of control system and diagnostics of machine basing on method: fuzzy- logic neuro system of the control circuit (fuzzy logic control in neural networks). In the paper present’s a chosen of control algorithms, and results of computer simulations of chosen mathematical models of hoisting-machine.