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

Abstract

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.

Design and Hardware Implementation of an IGBT-Based Half-Bridge Cell for Modular Voltage Source Inverters

“…The main requirements for high-performance VSIs generally are [45]: (1) low THD of voltages and currents at the output, (2) quick transient response in case of sudden load change, and (3) steady-state errors kept as small as possible.…”

Robust Flatness-Based Tracking Control for a “Full-Bridge Buck Inverter–DC Motor” System

“…Related to some applications of these systems, it is possible to find mechatronic systems [61], robotic arms [62], and wheeled mobile robots [63] for the unidirectional "DC/DC Buck converter-DC motor" system, whereas, applications of the bidirectional "DC/DC Buck converter-DC motor" system have been recently presented in renewable energy by Chi et al in [39] and wheeled mobile robots by Hernández-Guzmán et al in [64]. On the other hand, important research works recently developed and devoted to the design of controllers for the "full-bridge Buck inverter" system have been reported in [65,66].…”

Sensorless Tracking Control Based on Sliding Mode for the “Full-Bridge Buck Inverter–DC Motor” System Fed by PV Panel

“…Furthermore, Chi et al presented an adaptive tracking SMC with neural network estimation related to the estimation of the Chebyshev neural network in [60]. On the other hand, in addition to what has been presented in this section, some studies that have addressed the control strategies for the full-bridge Buck inverter are the works presented in [61][62][63][64].…”