Fuel pressure controlling device and controlling method for mini combustion turbine

Abstract

The invention relates to a fuel pressure control device of micro gas turbine and the control method. The device comprises DSP TM320LF2407A of TI Co. and the minimum system design, power circuit, signal detection circuit, signal processing circuit, communication processing circuit and driving output circuit. Thereinto, the signal processing circuit, the communication processing circuit and the driving circuit are connected with the DSP respectively. The signal detection circuit is connected with the signal processing circuit and the communication processing circuit is connected with the central control device. The control method of fuel pressure control device comprises initialization, self detection, normal shutdown control, parameter modification and pressure control monitoring on time. The invention is provided with reliability, safety, economic practicality and technology advancement.

Description

technical field [0001] The invention belongs to the technical field of micro gas turbines, in particular to a fuel pressure control device and control method for a micro gas turbine. Background technique [0002] Micro gas turbines will play an important role and strategic significance in my country's electric power, power and other national economic fields and national security in the future. Advanced gas turbine technology is the core key technology in the energy power system in the 21st century. The development of high and new technologies in the national economy and national defense construction such as aerospace, ships, vehicles, and military affairs is of great significance. The micro gas turbine is composed of a high-speed rotating impeller, and the energy generated by the combustion of fuel is used to do work through the turbine to generate electrical energy to supply power to the load. It is mainly composed of compressors, combustion chambers, turbines, some generat...

AI Technical Summary

Problems solved by technology

However, in the actual industrial production process, the control system often has nonlinearity, time-varying uncertainty and the inability to establish an accurate mathematical model, so the ideal control effect cannot be achieved by using conventional PID

At the same time, in the actual production site, due to the limitation of the complex parameter setting method, the parameters of the conventional PID controller are often poorly set, the performance is not good, and the adaptability to the operation of the field system is very poor.

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