Hybrid iterative learning control strategy for single‐phase UPS inverter using inductor current active damping

Singh, Santosh Kumar; Choudhuri, Sumit Ghatak

doi:10.1049/joe.2017.0544

Cited by 1 publication

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In order to produce satisfactory transient and steady-state responses, the iterative learning closed-loop control technique is used for the design of uninterruptible power supply (UPS) inverters. This technique demands exceedingly precise system parameters and modeling [7]. The high stability of the boost converter is insured by the H-Infinity control, which has been recommended.…”

Section: Introductionmentioning

confidence: 99%

Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

Chang

Cheng

2021

Applied Sciences

View full text Add to dashboard Cite

This paper develops a full-bridge DC-AC converter, which uses a robust optimal tracking control strategy to procure a high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed strategy brings out the advantages of non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with a typical TA, the NFCTA affords fast convergence within a limited time to the steady-state situation, and keeps away from the possibility of singularity through its sliding surface design. It is worth noting that once the NFCTA-controlled DC-AC converter encounters drastic changes in internal parameters or the influence of external non-linear loads, the trembling with low-control precision will occur and the aggravation of transient and steady-state performance yields. Although the traditional PSO algorithm has the characteristics of simple implementation and fast convergence, the search process lacks diversity and converges prematurely. So, it is impossible to deviate from the local extreme value, resulting in poor solution quality or search stagnation. Thereby, an improved version of traditional PSO called CPSO is used to discover global optimal NFCTA parameters, which can preclude precocious convergence to local solutions, mitigating the tremor as well as enhancing DC-AC converter performance. By using the proposed stable closed-loop full-bridge DC-AC converter with a hybrid strategy integrating NFCTA and CPSO, low total harmonic distortion (THD) output-voltage and fast dynamic load response are generated under nonlinear rectifier-type load situations and during sudden load changes, respectively. Simulation results are done by the Matlab/Simulink environment, and experimental results of a digital signal processor (DSP) controlled full-bridge DC-AC converter prototype confirm the usefulness of the proposed strategy.

show abstract

Section: Introductionmentioning

confidence: 99%