Abstract: In order to meet the demand for capacity control of reciprocating compressors, the mechanism modeling of the relationship between discharge pressure and flow is established. Then the variable pairs with smaller coupling correlation degree are selected by calculating the steady-state relative gain of the model. The distributed PI control strategy is used to verify the matching relationship between the mechanism model and the actual system. Meanwhile, the model identification method is used to translate the mechanism model into transfer function matrix. And for the first time, the transfer function matrix is used to design the internal model controller of the paired main loop to replace the traditional PI controller, which reduces the difficulty of parameter tuning. Simulation and experimental results show that the proposed method achieves good target tracking performance and robustness, and optimizes the control effect of the system.

Key words:

Reciprocating compressor, capacity control, IMC, parameter tuning

摘要： 针对往复压缩机气量调节的需求，对机组排气压力与流量的关系进行机理建模，计算模型稳态相对增益选择耦合关联度较小的变量配对方式，采用分布式PI控制策略验证机理模型与实际系统的匹配关系，同时运用模型辨识方法将机理模型转化为传递函数矩阵，并首次利用传递函数矩阵对配对主回路设计内模控制器代替传统的PI控制器，降低了参数整定的难度，从仿真和实验结果可知，此方法取得良好的目标值跟踪性能和鲁棒性，实现了系统控制效果的优化。

关键词: 往复压缩机, 气量调节, 内模控制, 参数整定