Advanced teaching method for Single Phase Soft Switching, Inverter using Artificial Neural Network based on simulations and hardware experiment been described in this paper. In this proposed inverter used one extra auxiliary switch. The auxiliary and main switches to achieve zero voltage switching through proper PWM gate pulse with suitable delays. All the switches were working under ZVS condition. The performance of the planned soft switching inverter with Artificial Neural Network (ANN) controller has been analyzed and compared with Fuzzy and PI controller with complete simulation circuit developed using MATLAB/Simulink toolbox. Experimental setup Input voltage: 220Vdc, Output voltage: 120Vrms, Switching frequency: 50kHz hardware model is presented. Controllers are compared based on the time response specifications. Simulation and hardware results were obtained and presented to validate the proposed controller's overall operation under practical operating environment. The proposed method used to students learning the switching losses analysis in the inverter and focus the research in the field of power electronics switches.

本文介绍了基于仿真和硬件实验的人工神经网络逆变器单相软开关高级教学方法。在此建议的逆变器中，使用了一个额外的辅助开关。辅助开关和主开关通过具有适当延迟的适当PWM门脉冲实现零电压开关。所有交换机均在ZVS条件下工作。分析了计划中的带有人工神经网络（ANN）控制器的软开关逆变器的性能，并将其与使用MATLAB / Simulink工具箱开发的具有完整仿真电路的Fuzzy和PI控制器进行了比较。实验设置输入电压：220Vdc，输出电压：120Vrms，开关频率：50kHz硬件模型。根据时间响应规范比较控制器。获得了仿真和硬件结果，并进行了演示，以验证所提出的控制器在实际操作环境下的整体操作。该方法用于学生学习逆变器中的开关损耗分析，并集中在电力电子开关领域的研究。