摘要
为了更好地实现对工业过程温度的控制,文章设计了一种基于CMAC神经网络模型的PID控制算法。将该算法应用于温度控制中,研究了改变被控对象参数时的系统响应特性。仿真结果表明,该算法具有较强的自适应能力和鲁棒性,其性能优于常规PID控制算法。
In order to better realize the temperature control of industrial process, this paper designs a kind of the PID control algorithm based on CMAC neural network model. The algorithm is applied to the temperature control. The system response is researched when the parameters of controlled object change. Simulation results show that the algorithm has strong adaptive ability and robustness. Its performance is superior to the conventional PID control algorithm.
出处
《仪表技术》
2013年第6期34-36,共3页
Instrumentation Technology
关键词
小脑模型神经网络
温度控制
PID控制算法
仿真研究
自适应
cerebellar model neural network
temperature control
the PID control algorithm
the simulation re-search
adaptive
