Gray Wolf optimization method for automatic ventilation systems of clean accessories

Abstract

The manufacturing processes complication leads to cost increasing of equipment service and maintenance costs. An important role in overcoming these factors is played by modern automatic control systems, regulators optimization and adaptation of control systems to changing conditions. Today, the actual problem remains the adjustment and optimization of automatic control systems, especially complex structures.The article researches the population optimization algorithm "Gray wolf" as applied to the search for optimal PID-controller settings. A cascade automatic control system with two PID regulators optimized for a minimum of integral IAE, ISE quality criteria, as well as control time is considered. The advantage of the method under investigation is shown in a comparing with the Hook-Jeeves zero-order optimization method. The mathematical modeling of the automatic control system of air temperature in a clean room with the “Grey wolf” optimization method is performed. Attention is focused on the convenience of using the method, since it does not require an accurate setting of the initial parameters of the regulators. This eliminates the need for an a priori knowledge of the customizable system dynamics by the user. The commissioning of control parameters optimizing systems will help to increase the efficiency of the equipment in conditions of variable operating modes. The recommended area of the method used is the complex structures of automatic control systems, where the search for optimal settings by classical methods is difficult or does not exist.