Adaptive PID anaerobic fermentation temperature control system and method based on Elman neural network

Abstract

The invention provides a self-adaptive PID anaerobic fermentation temperature control system and method based on an Elman neural network, and the system mainly comprises a flue gas waste heat exchanger, a deslagging waste heat exchanger, a dead steam waste heat exchanger, a heating circulation heat exchanger, a temperature monitor, a constant-temperature water storage tank, and a neural network-PID controller. The control method comprises the following steps: presetting an anaerobic fermentation target temperature, obtaining a current time temperature, adaptively adjusting parameters of a PID controller through an Elman neural network according to a difference value between the current temperature and the target temperature, and then controlling output of a heat exchanger by using a PID algorithm, thereby realizing adaptive adjustment of the anaerobic fermentation temperature. The temperature control system utilizes waste heat of a power plant to maintain the anaerobic fermentation temperature, and has remarkable energy-saving benefits; according to the control method, a neural network self-adaptive PID algorithm is adopted, interference of large fluctuation and time-varying characteristics of a direct-fired power generation and anaerobic fermentation system on the system is overcome, temperature control precision and accuracy are guaranteed, and good robustness is achieved.

Description

technical field [0001] The invention belongs to the field of biomass energy utilization, and in particular relates to an Elman neural network-based self-adaptive PID anaerobic fermentation temperature control system and method. Background technique [0002] Anaerobic fermentation refers to the process of obtaining biogas rich in methane through the decomposition of organic matter by microorganisms under suitable conditions. efficient use of biomass. In the process of anaerobic fermentation, temperature is one of the key factors affecting biogas production. According to the temperature of the biogas tank, anaerobic fermentation is usually divided into normal temperature fermentation (10-30°C), medium-temperature fermentation (30-40°C) and high-temperature fermentation. (50-60°C). In addition, temperature fluctuations also have a great impact on the efficiency of anaerobic fermentation. Generally speaking, the daily temperature fluctuation of anaerobic fermentation should be...

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Problems solved by technology

These technologies have some shortcomings. For example, the heating technology of electrothermal film combined with insulation layer needs to consume high-grade electric energy, which has high energy consumption and poor energy-saving performance; the combustion pool heating technology uses low-grade fuels such as sawdust and straw for heating, but the combustion control is relatively poor. The management and operation are relatively complicated; the energy density of solar energy is low, the day and night changes are large, and it is greatly affected by the weather, so it is difficult to ensure the temperature required by the anaerobic fermentation system

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