Wastewater treatment process adaptive generalized predictive control method and system

Abstract

The invention discloses a wastewater treatment process adaptive generalized predictive control method. The method includes the following steps that: the design of an adaptive generalized predictive controller is realized through utilizing an idea of feedback linearization; and when the Lyapunov stability of the adaptive generalized predictive controller is proved, adaptive rules for correcting system controlled autoregressive integrated moving average (CARIMA) model parameters can be obtained, and the model parameters can be dynamically adjusted, so that a system tracking error can be minimum, and therefore, the steady-state control of dissolved oxygen concentration can be realized. With the wastewater treatment process adaptive generalized predictive control method of the invention adopted, the problem of incapability of ordinary generalized predictive control to realize stable control in response to large interference can be solved. As indicated by experimental results, the control algorithm can stably and fast control the dissolved oxygen concentration, has strong anti-interference ability, and is conducive to the stable and efficient operation of a wastewater treatment process.

Description

technical field [0001] The invention relates to the field of sewage treatment, in particular to an adaptive generalized predictive control method and system for sewage treatment process. Background technique [0002] At present, my country's sewage treatment is in an unprecedented development opportunity. The country actively promotes the research and development, demonstration and promotion of major technologies for sludge treatment and disposal, conducts online control technology research, and incorporates major key technologies of sewage treatment and recycling into relevant national scientific and technological plans. To promote technologically advanced, economical and environmentally friendly processes and treatment technologies. [0003] The activated sludge sewage treatment process is widely used in the current sewage treatment industry, and the dissolved oxygen concentration is the main controlling factor affecting the efficiency, operating cost and stability of the s...

AI Technical Summary

Problems solved by technology

The former control method is simple and easy to use, but the control accuracy is not high, the fluctuation is large, and the energy consumption is high; the fuzzy control requires a lot of on-site control experience and knowledge and lacks self-learning ability

Moreover, these control methods do not integrate the nonlinear process model of dissolved oxygen into the design of the controller, which cannot accurately reflect the actual characteristics of the process.

The predictive control algorithm applies the dissolved oxygen concentration model to the design of the controller, and achieves better control results, but when faced with a large disturbance, it cannot maintain the stability of the dissolved oxygen concentration well

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