Aimed at the problem that the performance of model predictive control will decrease significantly when the predictive model is not accurate, a dynamic compensation strategy based on an extended state observer (ESO) is proposed, which is on the basis of voltage model predictive control. This strategy can not only improve the response speed and accuracy of the inverter system, but also suppress the influences of parameter perturbation and disturbance. First, the inverter state space equation of a LC filter is established, and the influences of parameter perturbation and current disturbance on the output voltage from the inverter system are analyzed. Next, a voltage model predictive controller is designed based on the nominal model of the inverter system. Then, an ESO is established through the local input and output information, so as to accurately estimate the internal and external disturbances of the system. In addition, a reverse compensation controller is designed, thus effectively suppressing the output voltage sag, swell and distortion of the inverter. Finally, this strategy was verified on an actual inverter platform PEK-530A. Experiments with various load disturbances and parameter perturbations under different working conditions were designed to validate the effectiveness and correctness of the proposed strategy.
| 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 |