Hybrid Model Predictive Control Applied to a Plunger Lift Artificial Elevation System
Hybrid systems, Predictive control, Mixed Logical Dynamical, Plunger Lift Optimization.
Hybrid systems present behavior characterized by the interaction of elements of continuous dynamics and discrete logic events. Traditionally, control design techniques suppress the hybrid nature of this type of system, viewing them as purely continuous or purely discrete. However, as the complexity of systems evolves over time, the importance of representing the interaction of continuous and discrete dynamics increases. This work proposes the implementation of a Predictive Control (MPC) technique based on the MLD (Mixed Logical Dynamical) formulation for the control of hybrid systems. This formulation represents hybrid dynamic systems in the form of linear constraints of binary variables interacting with the continuous behavior of differential equations. Classical control techniques do not incorporate these variables and constraints into their formulations. The developed controller will be applied to a simulation environment of the artificial elevation method Plunger Lift. It is expected that the application of the control technique will lead the system to operate in an optimized production regime. In the first phase of the work, the efficiency of the controller will be validated in a linear model from the linearization of the original lifting system. The results obtained will be compared to the control techniques commonly used in the petroleum industry.