Unmanned Aerial Vehicle (UAV) in the flight process, often suffers from a variety of external disturbance, after the disturbance UAV power supply needs to respond quickly and stabilize the output. To address this problem, this paper based on two-phase interleaved parallel synchronous Buck converter research and design a high dynamic nonlinear control strategy, in steady state use Active Disturbance Rejection Control (ADRC) to estimate the system disturbances in real time by the expanded state observer to reduce the disturbances and improve the system robustness, cut-load dynamics using the Optimized Fastest Current Control (OFCC), which results in a significant improvement in the dynamic response of the system with the fastest regulation speed in theory. This control scheme has the advantages of high dynamics, high robustness, and so on. Finally, the simulation was carried out on PSIM to verify the feasibility and advancement of the control scheme proposed in this paper by comparing the other two different control schemes.

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High Dynamic Nonlinear Control of Interleaved Parallel Synchronous Buck Converters

  • Mingyu Yuan,
  • Mingkang Zhang,
  • Fenghuang Cai

摘要

Unmanned Aerial Vehicle (UAV) in the flight process, often suffers from a variety of external disturbance, after the disturbance UAV power supply needs to respond quickly and stabilize the output. To address this problem, this paper based on two-phase interleaved parallel synchronous Buck converter research and design a high dynamic nonlinear control strategy, in steady state use Active Disturbance Rejection Control (ADRC) to estimate the system disturbances in real time by the expanded state observer to reduce the disturbances and improve the system robustness, cut-load dynamics using the Optimized Fastest Current Control (OFCC), which results in a significant improvement in the dynamic response of the system with the fastest regulation speed in theory. This control scheme has the advantages of high dynamics, high robustness, and so on. Finally, the simulation was carried out on PSIM to verify the feasibility and advancement of the control scheme proposed in this paper by comparing the other two different control schemes.