Three port converter (TPC) has the characteristics of high integration, high power density and single-stage conversion between ports, but at the same time, the energy flow is affected by the interaction of multiple variables. Model predictive control (MPC) was introduced to optimize the dynamic response of output voltage in order to improve the problem of slow response and large fluctuation of output value when traditional PI controller is used in the output voltage control loop of three port converter. The relationship between the prediction model and the control variable was obtained by modeling the average value of the state space of the three port converter, and the objective function was designed. The optimal value was obtained by traversal optimization, so as to improve the dynamic characteristics of the output voltage. The effect of output dynamic response of output voltage loop under traditional PI control and model predictive control was compared through experiments. The results show that model predictive control has obvious effect on improving output voltage stability.
| 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 |