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

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