Stability Optimization of Variable Frequency Drives Using Sliding Mode Control with Linear Matrix Inequalities for Multi-Agent Systems

Abstract

Variable Frequency Drives (VFDs) serve as essential elements for modern industrial operations which focus on enhancing energy efficiency and decreasing operational expenses. These systems encounter major stability issues when they operate under adverse conditions which include sudden load changes and power disturbances and delays in signal processing and mechanical system responses. Sliding mode control (SMC) has proven to be an effective solution because it provides adaptable monitoring techniques which also maintain system stability. The research study delivers its main contribution through the implementation of linear matrix inequality (LMI) method within the SMC framework to enhance stability in multi-agent VFD systems. The proposed technique operates to direct the switching functions of the DC link DC-DC CUK converter in the subject system. The subject system exists in mathematical form which allows researchers to study its behavior when exposed to standard input testing signals and its stability characteristics. The system maintains its stability during quick load variations which proves that the control method produces better results for systems that manage speed and torque in motor groups. The system stability during fast load variations proves that the control method produces better results for motor group speed and torque control systems which makes the technology suitable for transportation systems and renewable energy systems and other applications. Standard VFDs present challenges because they require specific motor types and operate with various communication protocols and expensive components. The authors indicate that it should be investigated to gauge the feasibility of having more advanced control algorithms incorporated with the suggested control system; enhancing its adaptability and performance control