A Robust Optimal Control Method for Aerobic-Anoxic-Anaerobic Reactor
An anaerobic reactor, robust optimization technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as strong disturbance, changing operating conditions, difficult to set point operating performance indicators, etc. Achieve the effect of good running performance and high application value
Active Publication Date: 2022-05-03
BEIJING UNIV OF TECH
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[0003] The two difficulties in the optimal control of aerobic-anoxic-anaerobic reactors are: 1) it is difficult to establish accurate operating performance indicators, and 2) it is difficult to solve the set points of process variables to optimize operating performance indicators
In order to establish operating performance indicators, the optimal control method based on mathematical models is applied to industrial processes with definite kinetic equations, but due to the complex nonlinear dynamics of aerobic-anoxic-anaerobic reactors, it is difficult to accurately Establish its operational performance indicators
In order to solve the set point of the process variable, scholars have designed some optimization algorithms, but due to the changeable operating conditions and strong disturbances, it is difficult to find a robust set point to ensure stable and efficient operation
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[0064] 1. a robust optimal control method for an aerobic-anoxic-anaerobic reactor, characterized in that, comprising the following steps:
[0065] (1) Design the operational performance evaluation index of the aerobic-anoxic-anaerobic reactor:
[0066] 1) Establish data-driven operating cost indicators:
[0067]
[0068] Among them, J 1 (t) is the data-driven operating cost index at time t, I OC (t)=[S NO (t), S O (t), S I (t), Q in (t), Q r (t)] T for J 1 Input vector of (t); S NO (t) is the nitrate nitrogen concentration in the anoxic pool at time t and the value range is [0, 2mg / L], wherein mg represents milligrams, and L represents liters; S O (t) is the dissolved oxygen concentration in the anoxic pool at time t and the value range is [0, 3mg / L]; S I (t) is the concentration of biodegradable organic matter in the anoxic pool and the value range is [0, 2mg / L]; Q in (t) is the inflow flow and the value range is [0, 20000m 3 ]; Q r (t) is the flow rate of ex...
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Aiming at the problems of strong nonlinear dynamics of aerobic-anoxic-anaerobic reactor, variable operating conditions and frequent external disturbances, the present invention proposes a robust optimal control for aerobic-anoxic-anaerobic reactor method to improve performance. This method first establishes the operating performance index of the aerobic-anoxic-anaerobic reactor, then obtains a robust optimal solution through a robust optimization algorithm, and finally uses a fuzzy neural network to track and control the optimal solution to achieve It ensures the efficient and stable operation of the aerobic-anoxic-anaerobic reactor.
Description
technical field [0001] By studying the characteristics of the aerobic-anoxic-anaerobic reactor, the present invention establishes a data-driven operating performance index including the effluent quality and operating cost, and designs a robust optimization algorithm to optimize and solve the effluent quality and operating cost The optimal solution with strong robustness is obtained, and the fuzzy neural network is used to track and control the optimal solution, and the optimization of the operating performance of the aerobic-anoxic-anaerobic reactor is realized. This robust optimal control method for the aerobic-anoxic-anaerobic reactor can overcome the complex and changeable operating conditions of the aerobic-anoxic-anaerobic reactor and the characteristics of strong external disturbances, making the aerobic-anoxic-anaerobic reactor The stable and efficient operation of anaerobic reactors belongs to the field of process control. Background technique [0002] Due to the in...
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IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 韩红桂张嘉成乔俊飞
Owner BEIJING UNIV OF TECH