Demonstration of a genetic algorithm-optimized real-time synthesis scheme for high-voltage reconfigurable pulses

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This paper proposes a method for real-time synthesis of reconfigurable pulses. The approach employs a high-voltage ultra-wideband (UWB) pulse source as the foundation, utilizing a genetic algorithm (GA) to optimize pulse synthesis parameters for targeted waveform generation. The method achieves not only peak power synthesis but also enables real-time arbitrary waveform synthesis through precise configuration of time delays and switching states of elementary pulses, thereby facilitating flexible switching between operational modes to meet diverse application scenarios. To address the insufficiency of the Pearson correlation coefficient in achieving high-fidelity waveform matching, a multi-objective fitness function is formulated for the GA, enhancing waveform consistency between synthesized and target pulses. Simulation results indicate that the waveform consistency between synthesized and target pulses exceeds 90% for positive Gaussian, negative Gaussian, and bipolar pulses, and surpasses 80% for double-exponential pulses. Experimental validation using a high-voltage UWB pulse source demonstrates that all synthesized positive Gaussian, negative Gaussian, and bipolar pulses achieve waveform consistency above 85% with targets, while double-exponential pulses exceed 75%, verifying the effectiveness of the proposed methodology.