模糊神经网络在制氧厂压力调节系统中的仿真应用

The Simulation Application of the Fuzzy-nural Network on the Pressure Adjust System

为了更好解决气压控制中存在的问题,本文提出了把智能控制应用于气压控制系统中,最后将此控制器应用到气体压力调节控制系统中,并将其与PID方法和模糊控制方法进行了仿真比较研究,从仿真结果表明,该控制器有较好的控制性能。

For settling the problem with the air pressure control, this paper advanced the application of intelligent control in the air pressure control system. Finally, the optimization method is used in air pressure adjusting control system to fulfill the control of oxygen pressure, and compared with PID algorithm and Fuzzy control algorithm. Simulation results show that the proposed controller offers good performance.