基于RBF神经网络电液恒功率调速自整定PID控制

采煤机电液调速系统对保证煤矿生产具有重要的作用。在分析恒功率自动调速的电液控制系统原理的基础上,建立了基于RBF神经网络自整定的PID控制的数学模型。通过在MATLAB/GUI仿真平台上计算得到系统的实际输出和模型输出的误差不超过5%,设计的RBF神经网络的电液恒功率调速自整定PID控制系统具有更高的跟踪精度和响应特性,完全可以实现系统的高精度与快速调速控制。

Self tuning PID Control of Electric Hydraulic Constant Power Speed Regulation Based on RBF Neural Network

The electrical hydraulic speed control system of coal mining mechanical plays an important role to ensure the coal mine production .Based on the analysis about the principle of the electro-hydraulic control system of constant power automatic speed control , the mathematical model of the self-tuning PID control was built by using the RBF neural network self-tuning PID control strategy .By MATLAB/GUI simulation platform , the output error between the real output and the model output was less than 5%.It is shown the designed electric hydraulic constant power speed regulation self-tuning PID control system has higher tracking precision and response characteristics , by which high precision and fast speed regulation control can be achieved .