Fuel cell anode pressure dynamic matrix control method based on multi-model feedforward

Abstract

The invention discloses a fuel cell anode pressure dynamic matrix control method based on multi-model feedforward, and regards the proton exchange membrane fuel cell as a multivariable object with three inputs and one output, wherein the object input includes one control quantity and two disturbance quantities , identify the step response model of the output quantity to the control quantity and the disturbance quantity at different steady-state operating points, and switch the identification model and the corresponding DMC controller for calculating the control increment according to the actual operating conditions of the fuel cell in the control , to ensure the optimality of the control quantity output. Compared with the traditional predictive control, the method of the invention can be applied to a wider range of working conditions, and the disturbance is small when the model is switched. In addition, the method of the present invention can effectively suppress the influence of exhaust valve position and load current disturbance, control the anode pressure tracking set value, reduce the pressure difference stress on the proton exchange membrane, prolong the service life of the proton exchange membrane, and ensure the high efficiency of the fuel cell , stable and safe operation.

Description

technical field [0001] The invention relates to new energy automatic control technology, in particular to a fuel cell anode pressure dynamic matrix control method based on multi-model feedforward. Background technique [0002] With the continuous improvement of environmental protection and sustainable development requirements, the efficiency of traditional thermal power generation technology is limited by the Carnot cycle, and SO x and NO x Such by-products will cause environmental problems, but subject to high energy demand, the development of clean energy technology as a supplement is an effective way. The proton exchange membrane fuel cell technology directly converts the chemical energy in the fuel into electrical energy through electrochemical reactions. It has the characteristics of high energy conversion efficiency, high energy density, no pollution emission, low operating noise and low temperature, and is suitable for commercialization. promote. Most proton exchan...

AI Technical Summary

Problems solved by technology

However, since MPC is a model-based predictive control method, its control effect depends on the accuracy of the control model. When the dynamic characteristics of the controlled object are complex, the establishment of the control model requires a large amount of prior knowledge, regardless of the mechanism modeling or data identification. Difficulty

At the same time, the controller parameters of the MPC control strategy are often preset and will not be adjusted after being put into operation.

For proton exchange membrane fuel cells, when the exhaust valve position changes, the dynamic characteristics of the anode pressure will also change accordingly, and the effect of the fixed parameter controller will deteriorate, and even cause the system to oscillate

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