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Nonlinear predictive control on a heterogeneous computing platform
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DOI：10.1016/j.conengprac.2018.06.016.png)
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Abstract
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We propose an implementation of an interior-point-based nonlinear predictive controller on a heterogeneous processor. The workload can be split between a general-purpose CPU and a field-programmable gate array to trade off the contradicting design objectives of control performance and computational resource usage. A new way of exploiting the structure of the KKT matrix yields significant memory savings. We report an 18x memory saving, compared to existing approaches, and a 6x speedup over a software implementation with an ARM Cortex-A9 processor. We also introduce a new release of Protoip, which abstracts low-level details of heterogeneous programming and allows processor-in-the-loop verification.
Keywords:
Predictive control
Hardware software co-design
Scheduling
FPGA
Optimization-based control
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