提出了针对环境控制系统特点的脉宽-模糊复合控制方案；使用Matlab软件的Fuzzy工具箱和Simulink工具箱，建立了脉宽调节、PID控制、模糊控制和复合控制等4种控制模型，其中模糊控制模型以混合后的温度与基准温度之间的偏差及其变化率为输入，通过模糊推理得到控制信号；输入温度阶跃信号对该4个控制模型的阶跃响应特性进行了计算和分析；选取一组动态参数作为输入对复合控制模型的动态响应进行仿真计算，结果表明，复合控制系统有效解决了现有脉宽调节系统的温度波动问题。

Based on the characteristics of the ECS, pulse width-fuzzy control concept was put forward. Four models, pulse width regulating, PID control, fuzzy control and combined control, were established with Fuzzy and Simulink tool boxes in MATLAB. The difference between the temperatures of mixed flow and the objective and its change rate were the input in the fuzzy system, and the output, the control signal, was obtained by fuzzy reasoning. Rank skipping response characteristics of the four control methods were computed and analyzed with temperature rank skipping signal. A group of dynamic parameters were selected as the input data, by which dynamic response of the combined control model was simulated. The result showed that combined control system could solve the problem of temperature fluctuation in existing pulse width regulating system efficiently.