A hardware/software architecture dedicated to model predictive control law and implemented into an FPGA platform Online publication date: Thu, 28-Mar-2019
by Telmoudi Brini Sirine; Bouzouita Badreddine; Bouani Faouzi
International Journal of Automation and Control (IJAAC), Vol. 13, No. 3, 2019
Abstract: Model predictive control (MPC) is an optimisation-based strategy for high-performance control engineering practice and real-time applications. This method needs to solve online a quadratic programming (QP) problem at each sample time to find optimal control sequence. In this paper, a new optimised MPC architecture is presented, for a gradient-based QP solver to implement linear MPC on a field-programmable gate array platform, which allows obtaining high-quality performances for the real-time control applications. It requires a manual programming of the high-level C/C ++ code in opposition to the other presented approaches, which automatically generates the code. The efficiency of this approach is completed with real time control of the water level of a single tank system running on a Nanoboard 3000XN chip using a conception environment (Altium Designer), while comparing between the MPC and PID controllers.
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