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Fuzzy PID (proportional-integral-derivative) controller and large-scale pig farm biogas engineering control system

A technology of fuzzy control and controller, applied in electric controllers, controllers with specific characteristics, etc., can solve problems such as inability to static errors, achieve good dynamic response, improve stability, and improve control effects

Inactive Publication Date: 2019-03-22
广东广垦畜牧工程研究院有限公司 +2
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AI Technical Summary

Problems solved by technology

Fuzzy control is especially suitable for the control of complex nonlinear systems whose mathematical models are unknown, and the control parameters are also various, but the static error that fuzzy control itself cannot, often appears small near the equilibrium point when the variable classification is not enough. Shock phenomenon

Method used

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  • Fuzzy PID (proportional-integral-derivative) controller and large-scale pig farm biogas engineering control system
  • Fuzzy PID (proportional-integral-derivative) controller and large-scale pig farm biogas engineering control system
  • Fuzzy PID (proportional-integral-derivative) controller and large-scale pig farm biogas engineering control system

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Embodiment Construction

[0041] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0042] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the specific implementations described here are only used to illustrate and explain the present invention, and do not limit the application of the present invention to other control systems.

[0043] The intelligent biogas engineering control system includes the following five steps:

[0044] 1. Build a manure treatment system for large-scale pig farms, and find out the key factors that affect the biogas production of biogas digesters; most of the waste from large-scale pig farms adopts "water flushing manure + anaerobic fermentation + aerobic treatment + advanced treatment "Combined treatment mode, the manure from the pig house 1 is collected into the manure storage tank 2 through the sewage ditch, ent...

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Abstract

The invention discloses a fuzzy PID (proportional-integral-derivative) controller, comprising a fuzzy PID control module and modules connected thereto, including: a PID control module for adjusting acontrol variable within a small deviation range; a fuzzification module for converting a determined value of input quantity of the fuzzy PID controller into a corresponding fuzzy language variable; afuzzy inference module for establishing fuzzy rules and acquiring probable loose conclusions from a loose condition set; a defuzzification module for converting a fuzzy language variable of the outputquantity of the fuzzy PID controller into a determined value. The invention also provides a PLC (programmable logic control) platform and a large-scale pig farm biogas engineering control system. Thefuzzy PID controller, the PLC platform and the large-scale pig farm biogas engineering control system have the advantages that the controller has better control effect; the control system has betterdynamic response; stability of the control system is greatly improved; the controller and the control system are significant to the optimization of biogas power generation and improvement of biogas power generation efficiency.

Description

technical field [0001] The invention relates to a fuzzy control system, in particular to a fuzzy PID controller and a large-scale pig farm biogas engineering control system. Background technique [0002] In recent years, engineering researchers have gradually introduced automation control technology into the pollution control process to improve the efficiency of pollution control and reduce the cost of pollution control. PID control is one of the most widely used control technologies and is widely used in industrial production lines. The basis of PID controller (proportional-integral-derivative controller) is proportional control; integral control can eliminate steady-state error, but may increase overshoot; differential control can speed up the response speed of large inertia system and weaken the overshoot tendency. The PID controller has the advantages of being simple and easy to understand, parameters are easy to set, and there is no need for precise system models and o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B11/42
CPCG05B11/42
Inventor 刘林王众夏云刘永宁韩先桢李结
Owner 广东广垦畜牧工程研究院有限公司
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