The applied research on the intelligent temperature control system of thermostat
Aihua Dong, Zengyin Liu
Abstract
Aihua Dong, Zengyin Liu
Abstract
With the development of science and technology, the controlled objects usually have these characteristics: serious non-linear, time-varying and existing a wide variety of interference. Besides, it is difficult to get the function of satisfied static and dynamic with the conventional control method. To design a kind of automatic control based on the intelligence of the constant temperature box control system, to improve previous PID control and Fuzzy control system control algorithm. This paper analyzes the different advantages and disadvantages of the two kinds of the controlling strategies and tries to combine with each other to realize the complementary advantages. That is, heating up with fuzzy control to make it rapid warming and heat preservation with PID Control to eliminate steady-state error. Finally, the system simulation is used MATLAB, to achieve the good intelligent control.
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With the development of science and technology, the controlled objects usually have these characteristics: serious non-linear, time-varying and existing a wide variety of interference. Besides, it is difficult to get the function of satisfied static and dynamic with the conventional control method. To design a kind of automatic control based on the intelligence of the constant temperature box control system, to improve previous PID control and Fuzzy control system control algorithm. This paper analyzes the different advantages and disadvantages of the two kinds of the controlling strategies and tries to combine with each other to realize the complementary advantages. That is, heating up with fuzzy control to make it rapid warming and heat preservation with PID Control to eliminate steady-state error. Finally, the system simulation is used MATLAB, to achieve the good intelligent control.
Key concepts: Thermostat, Temperature control, PID controller, Computer science, Control engineering, MATLAB, Fuzzy control system, Intelligent control