禽舍温度模糊自适应PID控制与仿真研究

Fuzzy Adaptive PID Control and Simulation for Poultry House Temperature

禽舍环境的温度变化与禽类的产量关系最为密切,对禽类的生长、发育、繁殖、健康及禽类产品生产量至关重要。为把禽舍内温度控制在一定的范围之内,根据禽舍环境的多变量、多耦合、非线性和大滞后的特性,建立禽舍环境控制系统简化的温度模型,提出基于模糊自适应PID的控制策略。通过模糊规则调整PID参数,与传统的PID控制进行了仿真比较。结果表明,对于带干扰的阶跃信号和方波信号,提出的控制策略具有较好的控制性能和较强的鲁棒性。

The temperature of the poultry house environment is most closely related to poultry production, and it is essential to poultry growth, development, reproduction, health and poultry products production. In order to control the temperature inside of the poultry house within a certain range, the simplified temperature model of poultry house environmental control system was achieved ac- cording to the poultry house environment variable, multi-coupled, nonlinear and large time delay characteristics. And the rule-based fuzzy adaptive PID control strategy was proposed. Then the adjusted PID parameters by the fuzzy rule was simulated and compared with the traditional one. The simulation results show that, for the disturbed step signal interference and square-wave signal, the proposed control strategy has better control performance and robustness.