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摘要
The requirement of control precision of operating conditions (condensation, subcooling, evaporation and suction temperature) is very high in a small compressor refrigerating capacity test system. In accordance with the dynamic distributive parameter mathematical models, probability control technique and an algorithm of neural network are used to simulate operating conditions. These control tactics are proposed for improving the control precision and the robustness of the system, and speeding up the response process of the test system. A practical application shows that these control technique have better control effect.
- 出版日期2004-7
- 单位浙江大学
