Abstract
The paper discusses the features of the Biomass Boiler drum water level. Conventional PID Control System can not reach a satisfaction result in nonlinearity and time different from Biomass Boiler Drum Water Control System. In this study, a kind of fuzzy self-adaptive PID controller is described and this controller is used in biomass boiler’s drum water level control system. Using the simulink tool of MATLAB simulation software to simulate the fuzzy adaptive PID and conventional PID control system, the result of the comparison shows that the fuzzy self-adaptive PID has the strong anti-jamming, flexibility and adaptability as well as the higher control precision in Biomass Boiler Drum Water.
Highlights
The biomass energy is the energy that can be transformed solar energy into chemical energy and stored in the organisms internal with the help of the green plant photosynthesis directly or indirectly
The paper discusses the features of the Biomass Boiler drum water level
Using the simulink tool of MATLAB simulation software to simulate the fuzzy adaptive PID and conventional PID control system, the result of the comparison shows that the fuzzy self-adaptive PID has the strong anti-jamming, flexibility and adaptability as well as the higher control precision in Biomass Boiler Drum Water
Summary
The biomass energy is the energy that can be transformed solar energy into chemical energy and stored in the organisms internal with the help of the green plant photosynthesis directly or indirectly. Because the traditional PID control can not meet the control precision and the corresponding speed requirements, fuzzy adaptive PID control theory is a new theory combining traditional PID control and fuzzy logic, which does not require the exact mathematical model of controlled object and adapt to the fast, small overshoot, and the short transition. This control method is suitable for biomass boiler drum water level control system [4]
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call