Real-time Selective Harmonic Minimization Using a Hybrid Analog/Digital Computing Method

We present a hybrid analog/digital computing circuit to solve selective harmonic minimization problem. The approach leverages favorable attributes of digital and analog controllers yield fast scalable optimization solver. A microcontroller programs the cost function other user-defined inputs Voltages in represent switching angles. In steady state, voltages converge Karush–Kuhn–Tucker (KKT) points specific realization that solves for eight independent angles quarter-wave symmetric pulsewidth modulation (PWM) driven two-level single-phase inverter. Seven undesired harmonics are minimized while retaining control over index. proposed is verified with simulations hardware implementation. experimental results demonstrate can optimal solution less than 5.0 ms, which substantially faster existing methods facilitates real-time Moreover, steady-state power consumption implementation approximately 750 mW, also significantly lower published comparable applications. utilized generate PWM 2-kW inverter, validates its feasibility practical