Abstract
Implementation of advanced control algorithms can result in improved drive performance, reliability and efficiency, but may increase embedded system hardware requirements. Through use of tunable automated optimization methods, development of controller code for embedded systems is refined to reduce performance requirements of the target hardware. Computational costs in clock cycles per sample (CCPS), flash memory usage and total stack consumption are compared for open- and closed-loop control systems in addition to an advanced efficiency-enhancement closed-loop controller. The effects of applied optimization techniques on the embedded coding side are discussed.
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