In the process of engineering implementation, the dead-beat current tracking control actually evolves into a one-beat lag control, which leads to the decline of harmonic compensation performance of active power filters. On the basis of analyzing the influence of system delay on digital control, adaptive forward linear prediction and repetitive prediction algorithms are prehensively used to predict the harmonic compensation reference current two sampling times in advance, and discriminant conditions for the switching of the two prediction algorithms are set based on whether the system dynamics occurs. In order to predict the output current of the inverter at one sampling times in advance and effectively suppress the measurement noise, the inverter current prediction link uses both the harmonic reference current to be compensated and the historical data of the output current as inputs. Therefore, the stability of the proposed predictive dead-beat control is analyzed when the output filter inductance and resistance parameters of the main circuit are deviated, and the transmission of current and voltage measurement noise in the system is further analyzed. Finally, simulation and experimental comparison studies on three types of predictive dead-beat control are conducted to verify the effectiveness of the mixed current prediction-based dead-beat control algorithm proposed.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |