Modeling and optimal control of fractional-order phase-shifted full-bridge converter
Based on the fractional-order characteristics of components in the circuit,fractional calculus theory and state space averaging were used to model and optimize the control analysis of the fractional-order phase-shifted full-bridge converter.The fractional-order state-space averaging equations for the phase-shifted full-bridge converter were established,and the impact of the fractional-order characteristics of inductance and capacitance on the frequency domain characteristics of the converter was studied.Combining the advantages of genetic algorithms,the optimal parameters of the fractional-order PIλ controller and the optimal parameters of the integer-order PI controller that satisfy the integral of time-weighted absolute error index were obtained.Circuit simulation models for the fractional-order phase-shifted full-bridge converter and simulation models for different controllers were built.A comparison of the simulation results under different controllers,operating conditions,and load variations was carried out.The results indicate that,compared to the integer-order PI controller,the fractional-order PIλ controller can provide better control performance,enabling the fractional-order phase-shifted full-bridge converter to have faster response,better steady-state performance,and stronger robustness.
fractional-order phase-shifted full-bridge convertergenetic algorithmoptimal controlfractional order proportion integration control
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