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Study on the Control of Temperature and Pressure for DME Synthesis Based on Fuzzy-PID

Author: XuYanPeng
Tutor: ChenLiangCai
School: Huazhong University of Science and Technology
Course: Chemical Process Equipment
Keywords: Dimethyl Ether Fuzzy and PID control Temperature Pressure
CLC: TP273
Type: Master's thesis
Year: 2009
Downloads: 12
Quote: 0
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Abstract


Coal gasification polygeneration device supply of CO and H2 in the role of a catalyst , can be synthesized combustion performance , pollution - free cleaning liquid fuel - dimethyl ether . However , the synthesis of dimethyl ether reaction you need to establish a high-temperature and high-pressure reaction conditions , and the synthesis reaction is exothermic , so from the the heat control point of view , is first heated and then cooled . Traditional PID control is difficult to achieve the reaction temperature and pressure requirements. To this end need to study a static and dynamic performance are relatively good control system . For dimethyl ether synthesis of such a multi-input , multi-output complex systems with a significant lag , fuzzy control and PID control complex control strategies . Fuzzy nonlinear control system has good adaptability , but also overcome the lag of the system , adjust quickly , so for complex systems , the dynamic performance of fuzzy control is better . Small deviation range , the steady-state performance of the PID control is better. Composite fuzzy control and PID control , you can play advantage of the two control strategies . Departure from the basic theory of fuzzy control and PID control , according to the measured system characteristics, and the basic law of the pre - experiment , the establishment of fuzzy control rules , fuzzy controller design a reasonable , established on this basis based on IPC610BP IPC DME synthesis reaction temperature and pressure control system. The control system will be collected in the field controlled process parameters , compared with the settings to get the deviation and the deviation of the rate of change ; deviation and the deviation of the rate of change as a binary input of the fuzzy controller ; reasonable binary input through the fuzzy controller operation output ; regulation of the output command is sent to the relevant implementing agencies to achieve closed-loop control system . When the deviation decreases to a certain value , the fuzzy control is switched to the PID control , in order to achieve a better effect of steady state control . By the fuzzy - PID control , the control system's response time is short , and soon stabilized at around the set value , the temperature deviation as ± 1 ° C , the steady-state error as ± 0.4 % . The pressure and the deviation is ± 0.1MPa as ± 4 % of the steady state error , the steady-state error of the temperature and pressure within the required range in the process . Interference experiments to prove that the control system has a certain anti-jamming capability , i.e. there is a strong stability for temperature and pressure control .

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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