Nonlinear prediction and control method for independence energy supply temperature of buildings

Abstract

The invention relates to a nonlinear predictive control method for the temperature of independent energy supply in the building, which belongs to the technical field of independent cold and heat energy supply in a building. The method comprises the following steps: a device comprises a PID neuron neural network and a gray predictive controller; according to the historical change of the temperature of effluent water, the gray predictive controller adopts a gray prediction method to obtain the predicted value of the temperature of the effluent water; the predicted value of the temperature of the effluent water and the set value of the temperature of the effluent water are sent to the PID neuron neural network together as an input layer of a forward network; a hidden layer of the forward network of the PID neuron neural network comprises three neurons; the output functions of the neurons respectively corresponds to three parts: proportion, namely: proportion, integral and differential; an output layer of the network carries out the calculation of the control amount of the PID neuron neural network; and according to an error signal between the actual measured value and the set value of the temperature of the effluent water, on-line adjustment and weighing is carried out. The method can intelligently adjust operating parameters and realize intelligent heat and cold supply with stable and high-efficiency operation under the condition of various weathers.

Description

technical field [0001] The invention belongs to the technical field of building independent cooling and heating energy supply, and in particular relates to a nonlinear predictive control method for building independent energy supply temperature. Background technique [0002] The building independent energy supply system is an energy utilization system with many advantages, and its control characteristics include multivariable, nonlinear, strong coupling, large delay, pure lag, time-varying, etc. Due to the complexity of the region and climatic conditions in which the building independent energy supply system is applied, if the conventional control methods such as PID control, fuzzy control or a simple combination of the two methods are used on this system, satisfactory control effects cannot be obtained. The main problem lies in the contradiction between dynamic and static performance, between tracking set value and suppressing disturbance, and between robustness and control...

AI Technical Summary

Problems solved by technology

Due to the complexity of the region and climatic conditions in which the building independent energy supply system is applied, if conventional control methods such as PID control, fuzzy control or a simple combination of the two methods are used on this system, satisfactory control effects cannot be obtained.

The main problem lies in the contradiction between dynamic and static performance, between tracking set value and suppressing disturbance, and between robustness and control performance.

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