Intelligent Control of Heat Exchanging Process in Distilled Water Machine

The heat exchange of distilled water unit is a very complex process.The main steam pressure and temperature are tightly coupled with the pressure of raw water, temperature and flow in the circuit, and show non-linear relationship. There are two important parameters need to be controlled in water production process: conductivity and temperature of distilled water at the exit. This is a typical double input and double output control system. As the characteristics of large delay,non-linear,time-varying and strong interference of distilled water machine system, double input and double output control system is a strong coupling control system. According to the characteristics and requirements of heat exchange process, does not need to establish accurate mathematical model of the object based on neural network multi-variable decoupling method, and composes intelligent controller with decoupling. Field experiments and simulation results show that, neural network adaptive decoupling control algorithm has strong robustness, it has good control effect to the non-linear, time-varying, MIMO system.