scholarly journals Application of Fuzzy Control Technology in Aerobic Compost Heat Recovery Device

2021 ◽  
Vol 2138 (1) ◽  
pp. 012014
Author(s):  
Changbao Guo

Abstract The technology of aerobic composting of organic solid wastes has been mature, but the technology of energy recovery and utilization generated by aerobic composting is backward. This paper investigates the status quo of organic solid waste energy conversion and fuzzy control technology. Based on reality, the principle of energy recovery of aerobic composting technology is introduced, the characteristics and advantages of fuzzy control technology are analyzed, and the design of fuzzy control technology for heat recovery device of aerobic composting has improved the utilization rate of energy recovery of aerobic composting. Practice has proved that the introduction of intelligent control technology such as fuzzy control into the control technology of biomass energy recovery is an inevitable trend in the development of new energy field.

Author(s):  
S.L. Smith ◽  
N. Bliss ◽  
A.R. Goulden ◽  
D.J. Holder ◽  
P.A McIntosh ◽  
...  

2011 ◽  
Vol 383-390 ◽  
pp. 7328-7331
Author(s):  
Lan Jiang Zhang ◽  
Gui Jie Wang

Designed the control system policy for automobile electric seat using fuzzy control technology, therefore established its control model by Fuzzy Logic Toolbox, and carried on the off-line simulation to choose controller's optimum control parameters. From the dynamic viewpoint, the auto electric seat adjustment system is not only a complex nonlinear function which includes the location of the DC servo motor and the speed, but also contains serious nonlinear coupling interference, so the system is a highly nonlinear strong coupling, variable multivariable system. Application of traditional control methods (such as traditional PID) is difficult to meet its order requirements, so the research is highly robust method of intelligent control is an effective way to solve the problem. Fuzzy control technology has become the field in which drawn greater attention and researched in recent years. It doesn’t depend on the mathematical model of controlled object, has a good robustness, and nonlinear control characteristics, so it is an effective means to control the object with time-varying, non- linear parameters. In this paper, fuzzy control technology to achieve the orders of auto electric seat adjustment control system functions in the Literature [1], and the tracking of the system was simulated.


2014 ◽  
Vol 701-702 ◽  
pp. 697-703
Author(s):  
Li Zong Lin ◽  
Jian Feng Chen ◽  
Shuai Han ◽  
Chao Huang ◽  
Zi Li Ke

Aiming at the current energy efficiency of washing machine is not high. The smart inverter washing machine based on fuzzy control technology is designed. Drum washing machine including a content body structure design, programmable controller and the overall program and frequency control module is highlighted. And the generation and fuzzy reasoning process SPWM signals and other issues are discussed in detail. The results show that the use of fuzzy control technology frequency control can not only save water and energy, but also meet the modern requirements of a variety of special laundry, in line with the development trend of the washing machine technology.


2011 ◽  
Vol 328-330 ◽  
pp. 2172-2180 ◽  
Author(s):  
Zhi Long Xing ◽  
Yang Liu ◽  
Yun Feng Liu

Aiming to solve the energy saving problem in modern electric vehicle, we propose a motor-generator integration control system based on the induction motor and the fuzzy control theory in this paper. A motor-generator hardware platform is built up using the four quadrant characteristic of AC induction motor. The AC induction motor works both as driving motor of the electric vehicle and as well as the energy recovery generator. Specifically, the fuzzy direct torque control strategy is adopted in the motor state, and fuzzy instantaneous torque control strategy in power generation state. A simulation is carried out to analyze the practicality of the proposed control method, the simulation results show that the fuzzy torque control technology is well performed. Finally, a simulative energy recovery experimental platform is built up to test the proposed integration control system, and results shown that the efficiency of energy recovery could be up to 97.3%.


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