Temperature multi-model prediction function control method and device

Abstract

The invention relates to a temperature multi-model prediction function control method and device, and the method comprises the steps: constructing a transfer function model based on CARIMA description; defining a polynomial matrix, and determining a control increment of a conduction oil outlet temperature control system according to a conventional unrestraint generalized prediction control algorithm; adding the conduction oil inlet flow control increment constraint, control constraint and outlet conduction oil temperature constraint at a current moment t; carrying out the weighted connection calculation for controllers which are built according to the models, and obtaining an optimal conduction oil inlet flow control increment. The method is used for solving a problem that a conventional constrained prediction control method is difficult for engineering application and the solving of problems of large lag and nonlinearity of a conduction oil outlet temperature thermotechnical object of a heat collector, achieves the quick, stable and accurate tracking of a set value of the outlet conduction oil temperature, effectively reduces the fluctuation in a temperature adjustment process, and remarkably increases the response speed of temperature adjustment.

Description

technical field [0001] The invention belongs to the field of electric power system automation, and in particular relates to a temperature multi-model prediction function control method and device. Background technique [0002] The important core component of trough solar thermal power generation is the solar collector, and the heat transfer oil outlet temperature control system in the collector is one of the most important control systems in the trough solar thermal power plant, and it is also a difficult point in the control of the trough solar thermal power plant one. The controlled variable is the outlet temperature of the heat transfer oil of the collector. If the temperature is too high, it will affect the safety of the unit operation, and if the temperature is too low, the economy of the unit will be reduced. Therefore, it is very important to keep the temperature of the heat transfer oil outlet in the collector stable at the rated value. Since this temperature object...

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Problems solved by technology

[0004] In order to overcome the above-mentioned defects, the present invention proposes a temperature multi-model predictive function control method and device, adopts the improved restricted generalized predictive function control, solves the shortcomings of the traditional restricted predictive control algorithm complexity, large amount of calculation and difficulty in engineering application; combined with the improvement The recursive Bayesian multi-model weighting method is used in the heat transfer oil temperature control system at the collector outlet to solve the nonlinear problem of the controlled object itself, so that the system responds quickly, the dynamic tracking performance is good, the system does not oscillate, and the steady state has no deviation

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