Multimodeling control via system balancing
Summary: A new approach in multimodeling strategy is proposed. Multimodel strategies in which control agents use different simplified models of the same system are being developed using balancing transformations and the corresponding order reduction concepts. Traditionally, the multimodeling concept is studied using the ideas of multitime scales (singular perturbations) and weak subsystem coupling. For all reduced-order models obtained, a Linear Quadratic Gaussian (LQG) control problem is solved. Different order reduction techniques are compared based on the values of the optimized criteria for the closed-loop case where the full-order balanced model utilizes regulators calculated to be the optimal for various reduced-order models. The results obtained are demonstrated on a real-world example: a multiarea power system consisting of two identical areas, that is, two identical power plants.
linear quadratic Gaussian (LQG) control problem
scientific article; zbMATH DE number 5793800
scientific article