Title :
Embedded Model Predictive Control for an Electric Submersible Pump on a Programmable Logic Controller
Author :
Binder, B.J.T. ; Kufoalor, D.K.M. ; Pavlov, Alexey ; Johansen, Tor Arne
Author_Institution :
Dept. of Eng. Cybern., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
Abstract :
Electric Submersible Pumps (ESPs) can be installed in oil wells to create artificial lift, in order to increase recovery from the reservoir, and boost the production rate. A Model Predictive Controller (MPC) for an ESP, based on linearized models, is developed and designed using SEPTIC (Statoil´s in-house software tool for MPC), and implemented on a Programmable Logic Controller (PLC). Automatic code generators have been utilized to generate an application-specific MPC controller in ANSI C code. Hardware-in-the-loop simulation results show that the control performance of the PLC implementation is comparable to the original SEPTIC controller.
Keywords :
control engineering computing; digital simulation; embedded systems; hydrocarbon reservoirs; predictive control; program compilers; programmable controllers; pumps; ANSI C code; ESP; MPC controller; PLC implementation; SEPTIC controller; Statoil´s in-house software tool for MPC; artificial lift; automatic code generators; electric submersible pump; embedded model predictive control; hardware-in-the-loop simulation; linearized models; oil wells; programmable logic controller; reservoir; Generators; Hardware; Inductors; Mathematical model; Optimization; Pressure measurement; Production;
Conference_Titel :
Control Applications (CCA), 2014 IEEE Conference on
Conference_Location :
Juan Les Antibes
DOI :
10.1109/CCA.2014.6981402