基于单神经元的自适应逆控制仿真研究

The simulation study based on single neuron adaptive inverse control

针对火电厂热工对象的变结构、变参数和时变等特点,不采用一般的单神经元自适应PID 控制,而是在此基础上加以改进,采用基于单神经元的自适应逆控制方案。通过大量的在各种环境变化和对象参数变化中的仿真研究表明,这种方法取得了很满意的控制效果,且控制算法简单,易于工程实现,有一定的实用价值。

Aiming at the changing structure, changing parameter and time - varying etc in thermal system , this paper not using general single neuron adaptive PID controller, but introduced a new adaptive inverse control based on single neuron. Extensive simulation studies on some condition on some condition changing and parameters changing of the object have shown that this strategy can achieve satisfacrory results. And due to its simple algorithm can easily be realized,it has the practical value in practice.