Abstract
Advanced control methods involve more complex calculations than the conventional PID controller algorithm. Often, advanced control is a high-level control procedure that takes care of sub-processes controlling low- level unit control loops such as PID controllers. In this case, advanced control strategy aims to fulfill economic objectives by providing appropriate set points for the lower-level control loops to minimize a given performance criterion. The use of process models is a common characteristic for advanced control methods. Advanced control relies strongly on process models that describe the process behavior. The models try to capture the essence of the process information. We give an overview of the seven advanced control method: adaptive control, multivariable control, model predictive control, fuzzy control, robust control, neural network based control and optimal control.
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