Online learning control for harmonics reduction based on current controlled voltage source power inverters

Naresh Malla, Ujjwol Tamrakar, Dipesh Shrestha, Zhen Ni, Reinaldo Tonkoski

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Nonlinear loads in the power distribution system cause non-sinusoidal currents and voltages with harmonic components. Shunt active filters U+0028 SAF U+0029 with current controlled voltage source inverters U+0028 CCVSI U+0029 are usually used to obtain balanced and sinusoidal source currents by injecting compensation currents. However, CCVSI with traditional controllers have a limited transient and steady state performance. In this paper, we propose an adaptive dynamic programming U+0028 ADP U+0029 controller with online learning capability to improve transient response and harmonics. The proposed controller works alongside existing proportional integral U+0028 PI U+0029 controllers to efficiently track the reference currents in the d-q domain. It can generate adaptive control actions to compensate the PI controller. The proposed system was simulated under different nonlinear U+0028 three-phase full wave rectifier U+0029 load conditions. The performance of the proposed approach was compared with the traditional approach. We have also included the simulation results without connecting the traditional PI control based power inverter for reference comparison. The online learning based ADP controller not only reduced average total harmonic distortion by 18.41 U+0025, but also outperformed traditional PI controllers during transients.

Original languageEnglish
Article number7974892
Pages (from-to)447-457
Number of pages11
JournalIEEE/CAA Journal of Automatica Sinica
Issue number3
StatePublished - Jul 2017
Externally publishedYes


  • Adaptive dynamic programming (ADP)
  • current controlled voltage source power inverter (CCVSI)
  • neural networks
  • online learning based controller
  • shunt active filter (SAF)
  • total harmonic distortion (THD)


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