Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves

Introduction. Pneumatic actuators are widely used in industry due to their reliability, simplicity of design, and ability to operate under complex conditions. However, when solving positioning problems, the use of traditional proportional valves is often redundant, which causes an unjustified increase in cost and complexity of the design. The application of simpler discrete distributors faces the problem related to the need to reach a compromise between their switching frequency and positioning accuracy.Existing studies mainly focus on optimizing individual performance indicators of pneumatic actuators and do not offer effective methods for finding a compromise between conflicting criteria. Using classical methods for constructing a Pareto set for multicriteria optimization requires significant computational resources, which complicates their practical application.The research objective is to develop a methodology for multicriteria optimization of the parameters of a positioning electropneumatic actuator with discrete distributors based on the construction of a Pareto set using surrogate models, which provides finding the optimal balance between switching frequency and positioning accuracy.