Unit Load System Predictive Functional Control

In this article, we focus on the implementation of the predictive functional control algorithm for unit load systems. Although this algorithm has been widely adopted in practical applications, we need to gain deeper insights into its underlying principles and implementation methods. The algorithm employs a predictive model to forecast system behavior over a finite horizon and calculates optimal control sequences through minimization of a cost function. Key implementation components typically include system identification, reference trajectory generation, and constraint handling mechanisms. This control strategy can be applied to various domains such as power systems, industrial production processes, and environmental control systems. Therefore, we provide detailed explanations of how the algorithm operates and its implementation approach, including discussions on parameter tuning and stability considerations. For those seeking to better understand the fundamental principles and applications behind this algorithm, this article offers valuable information and technical explanations that cover both theoretical foundations and practical implementation aspects.