Abstract: According to the characteristics of nonlinearity, large delay and unprecision physical model and requirements for temperature control in the low noise block(LNB)down converter temperature system, a novel bi-fuzzy control method with proportional-integral-tuning unit, which optimizes the control rule by adjusting factors, is developed to realize the temperature control for LNB. Moreover, its implementation with DSP TMSLF2407A is also given. Smooth actions of the controller during switching are guaranteed by using fuzzy inference. The experimental results show that the bi-fuzzy controller is much better than the conventional PID controller, and can meet the design requirements for the LNB temperature controller.

Key words: Bi-fuzzy control, LNB, Temperature control, DSP

摘要： 针对低噪声功率放大器(LNB)温度控制系统非线性、大滞后、物理模型不精确等特性和对温度控制的要求，提出了一种带有自调整因子和比例积分校正环节的双模糊控制策略来实现温度控制，给出了DSP控制实现的具体方案。该双模糊控制器采用模糊推理完成两组控制器的平稳过渡。实验结果表明了该系统的控制效果优于常规PID控制器，满足LNB控制系统温度控制要求。

关键词: 双模糊控制, 低噪声功率放大器, 温度控制, DSP