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介绍了基于ARM嵌入式处理器S3C2410X的变风量空调控制系统。控制策略采用神经网络串级预测控制方法,在一定程度上解决了传统PID不易在线实时整定参数、难以对控制系统进行有效控制的不足。软件设计中移植了μC/OS-II操作系统,采用多任务程序设计方法设计程序,大大降低了编写程序的复杂度。实践表明,该控制系统控制效果好,开发周期及成本均较低。
Introduced the VAV based on ARM embedded processor S3C2410X air-conditioning control system. Control strategy using neural network cascade predictive control method, to some extent, to solve the traditional PID is not easy online real-time tuning parameters, the control system is difficult to effectively control the shortcomings. Transplanted μC / OS-II operating system software design, multi-tasking programming design procedures, greatly reducing the complexity of the preparation of the program. Practice shows that the control system has good control effect and low development cycle and cost.