Abstract

According to the design requirements of solar water heater control system, based on characteristic of uncertainty of the water heater temperature and being unable to establish an accurate mathematical model, a fuzzy neural network control algorithm is applied to the control system. By use of the experimental data, the fuzzy neural network is trained offline by ANFIS toolbox, the program is written in C language, and a solar water heater control system based on STC90C52RC micro-controller is established.

Highlights

  • Solar water heater control systems currently on the market are mostly used micro-controller ch ip, the system has single function, complicated operation, inconvenient control, poor anti-interference ab ility, and cannot better control the water temperature, even with heating function, often there will be insufficient heating or over-burning

  • As an important branch of the field of intelligent control, fu zzy control and artificial neural network represents the development of the future of control technology

  • The paper based on fuzzy neural netwo rk carry on the Figure 1. fuzzy neural network structure

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Summary

Design of fuzzy neural network

The temperature erro r, error change rate as input of the network, calcu late the parameters of the membership function and the corresponding fuzzy ru les by using the learning ability, so as to obtain an output that is electrically heated start time. The whole fu zzy neural network structure is shown in figure 1

Introduction
Objective function defined is:
I y ij
Software design

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