烤箱温度神经网络控制仿真研究

Investigation of simulation of neuron-control over temperatures of oven

针对烤箱温度在工作区域内的变化具有非线性的特点,运用神经网络逆控制和预测控制相结合的方法对整个系统进行控制。系统的仿真部分应用Visual Basic 6.0作为前端开发环境,MATLAB 5.3作为后端工具进行设计与实现。此种仿真的设计思想对其他系统的仿真有很好的参考价值。文中给出了系统结构,通过对实例的仿真表明系统具有很好的鲁棒性。

Because the changes of the ovens temperature in work areas are nonlinear, a way of predictive control of neural network is applied to control the ovens temperature in this thesis. Visual Basic 6.0 is front-end environment of exploitation and MATLAB 5.3 is back-end tool of simulation .The design idea has reference value for other system. The structure of the system is expounded. The system has better robustness shown by simulation of an example.