【摘要】 为解决麦草浆造纸碱回收过程中存在的非线性,大滞后问题,提出一种基于CMAC神经网络和PID并行控制的模式。由于CMAC具有常规控制器所不具有的优越性能,故CMAC+PID的并行控制在一定程度上克服了常规控制器所不能避免的一些弊端。且在MATLAB下进行了仿真实验,仿真结果表明了此方法具有较好的控制效果。更多还原

【Abstract】 Alkali recovery process for wheat straw pulp paper exists in non-linear, large time delay problem, a CMAC neural network and PID based on parallel control model is proposed. As the CMAC with the conventional controller does not have superior performance, so a parallel CMAC and PID control to a certain extent overcome the conventional controller can not avoid some shortcomings. And carried out under the MATLAB simulation, simulation results show that this method has good control effect.更多还原