Robust Decentralized Control of a High Voltage DC System using Evolutionary Approach*
A. Farag, Herbert Werner · Intelligent Automation & Soft Computing · 2006
Abstract This paper presents a simple technique for designing decentralized controllers that achieve high robustness levels based on time domain objective functions. To illustrate the potential of the proposed method, it is applied to the design of a decentralized controller for a High Voltage DC power link that achieves robust performance over a wide range of operating conditions. The plant consists of two control loops with two inputs and four outputs; the controlled variables are direct current on the rectifier side and direct voltage on the inverter side. The dynamics of both control loops interact with each other and are determined by the overall properties of the combined AC/DC system. Constraints on the information available for feedback in each loop require a decentralized controller structure. Genetic Algorithms are demonstrated to be an efficient tool for the design and tuning of such robust decentralized controllers.