A Novel Method Simulating Human Eye Recognition for Sector Judgement of SVPWM Algorithm

The conventional space vector pulse width modulation (SVPWM) algorithm is mature and widely used in the control of three-phase inverters. As we know, the position of the voltage vectors can be seen directly by human eyes, which can be used to replace the existing way for sector selection in the conventional SVPWM algorithm. Based on the fact, a novel method simulating human eye recognition for sector selection of SVPWM is proposed in this paper. In the real application, machine can replace human eyes, and it can `see' the sector step by step in which the voltage vector is located, and immediately give the switching time of the two non-zero voltage vectors. Theoretically, it can save the running time and complexity of the SVPWM algorithm reflected in the situation that multiple inverters are connected in parallel with the number of voltage vectors being increased. The feasibility of the proposed SVPWM algorithm has been validated by both simulation and experiments, which offers the possibility of the application in the multiple or multilevel converters