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This paper proposes a Petri-net-based specification of cyber-physical systems dedicated to the control of a direct matrix converter with space vector modulation (SVM) and transistor commutation. The technique employed is further applied for hardware implementation in a programmable logic device [namely, field-programmable gate array (FPGA)]. Contrary to the traditional SVM computation methods, concurrency aspects of the digital devices are highly utilized in the presented solution. Therefore, the hardware system is specified by a live and safe Petri net, which is based on the parallelism. Moreover, such a specification can be easily analyzed and verified against the structural properties in order to avoid formal errors and prototyping mistakes (such as deadlocks or non-reachable states). The proposed idea is illustrated by a case-study example of the real prototype of the SVM algorithm. The system has been specified by a live and safe Petri net, analyzed, verified, and finally implemented in the FPGA device. The obtained results of the physical implementation are presented and discussed.
SVM, Concurrency, matrix converter, Petri net, Electrical engineering. Electronics. Nuclear engineering, FPGA, cyber-physical system, TK1-9971
SVM, Concurrency, matrix converter, Petri net, Electrical engineering. Electronics. Nuclear engineering, FPGA, cyber-physical system, TK1-9971
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |