Centralized cooling supply system control method and device, electronic equipment and storage medium

Abstract

Embodiments of the present application relate to the field of automation, and particularly relate to a centralized cooling system control method and device, electronic equipment and storage medium. The method obtains a desired trajectory and n system state parameters, calculates an error surface according to the i-th system state parameter, determines a candidate nonlinear relationship based on the i-th system state parameter and the desired trajectory through a radial basis function neural network. In the case where i is less than n, the value of i is increased by 1, and the error surface and the candidate nonlinear relationship are updated based on the error surface, the candidate nonlinear relationship and the desired trajectory through a filter. In the case where i is equal to n, a control rate is determined according to the error surface and the candidate nonlinear relationship, and at least one attribute parameter in the centralized cooling system is controlled according to the control rate. The present application reduces the data processing burden by setting a dynamic error surface. At the same time, the nonlinear approximation ability of the radial basis function can cope with the complex dynamics in the centralized cooling system, and realize high-precision, low-energy-consumption and strong-robustness system control.

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