A cost effective high-speed auto-coded embedded model predictive controller
by Jonathan Currie; Arrian Prince-Pike; David I. Wilson
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 13, No. 1/2, 2014

Abstract: Compared to PID control, model predictive controllers place high demands on the computing environment in terms of precision, speed, and memory, take time to design due to the embedded dynamic model, and do not scale particularly well. This paper describes a way to seamlessly implement a flexible MPC controller designed to operate in embedded hardware starting from a dynamic model in Matlab. The resultant controller runs stand-alone on the embedded hardware, is extremely fast, exhibits a modest memory footprint and best of all, requires no particular embedded programming experience from the user.

Online publication date: Sun, 13-Jul-2014

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