Utilizing Behavioral Models in Experimental Hardware-in-the-Loop

This paper introduces a method for conducting experimental hardware-in-the-loop (xHIL), in which behavioral-level models are coupled with an advanced power emulator (APE) to emulate an electrical load on a power generation system. The emulator is commanded by behavioral-level models running on an advanced real-time simulator that has the capability to leverage Central Processing Units (CPUs) and field programmable gate arrays (FPGA) to meet strict real-time execution requirements. The paper will be broken down into four topics: 1) the development of a solution to target behavioral-level models to an advanced, real-time simulation device, 2) the development of a high-bandwidth, high-power emulation capability, 3) the integration of the real-time simulation device and the APE, and 4) the application of the emulation system (simulator and emulator) in an xHIL experiment. The first topic will be addressed by targeting a behavioral-level model of a brushless dc motor drive with a pulse-width modulated inverter to a real-time simulator. The results of the real-time model will be compared to that of its non-real-time counterpart. For the second topic, hardware descriptions and data will be presented showing the APE's ability to track high-frequency command profiles. The third topic will cover the communication requirements and methods used for integrating the real-time simulator with the APE. Finally, for the last topic, the APE and real-time simulator will be integrated to emulate the brushless motor's dc-link current drawn by the inverter in a hardware experiment. In using the APE and the real-time simulator, it will be shown that it is possible to run detailed electrical models in real-time and emulate detailed electrical characteristics in hardware without requiring the actual hardware component. In following this process, it is possible to reduce risk and accelerate hardware and software development.

• Record URL:
  • https://doi.org/10.4271/2016-01-2042
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/19463855
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Miller, Chad N
  • Boyd, Michael
• Conference:
  • SAE 2016 Aerospace Systems and Technology Conference
  • Location: Hartford Connecticut, United States
  • Date: 2016-9-27 to 2016-9-30
• Publication Date: 2016-9-20

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 128-133
• Serial:
  • SAE International Journal of Aerospace
  • Volume: 9
  • Issue Number: 1
  • Publisher: SAE International
  • ISSN: 1946-3855
  • EISSN: 1946-3901
  • Serial URL: https://www.sae.org/publications/collections/content/e-journal-01/

Subject/Index Terms

• TRT Terms: Hardware in the loop simulation; Training simulators; Virtual reality
• Subject Areas: Aviation; Vehicles and Equipment;

Filing Info

• Accession Number: 01791899
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2016-01-2042
• Files: TRIS, SAE
• Created Date: Dec 9 2021 10:12AM