Research On Validation Of Fault Diagnosis And Fault Tolerant Control For Micro Gas Turbine

As the key technology of energy and power system in this century,micro gas turbine technology has been widely used in distributed power generation system,which has become an important symbol to measure the advanced degree of national industrial base.In order to ensure the safe and stable operation of distributed power generation system,fault diagnosis and fault-tolerant control of micro gas turbine are very important.A single shaft micro gas turbine was chosen as the research object in this paper.Component-level mathematical model of micro gas turbine components level and the linearized model were built in order for the research about sensor fault diagnosis and fault tolerance.Respectively,sensor fault diagnosis and fault-tolerant control method based on kalman filter and the BP neural network was designed,and the full digital simulation platform and hardware in the loop simulation platform for the integration of the model and algorithm validation were used.Firstly,the research on component-level modeling of micro gas turbine was carried out.Using the model-based design method and with the help of the T-MATS module toolbox,the component-level mathematical model of the T100 micro gas turbine was built on the MATLAB/Simulink software platform.During the modeling process,the mathematical model of T100 micro-gas turbine was initially established based on the thermodynamic equation of component characteristics of the system and the balance equation of component characteristics.Then,the characteristic data of non-design points were modified according to the component characteristic diagram to improve the simulation accuracy of the established mathematical model.Secondly,the research of micro gas turbine control system was carried out.Based on the componentlevel mathematical model,the linearization model of T100 micro gas turbine was established by combining small perturbation method and fitting method.Based on this linearization model,a controller about temperature was set up to control the exhaust temperature of micro gas turbine.The simulation results showed that the controller can ensure the T100 micro gas turbine maintain more stable dynamic performance.This verified the feasibility of the control scheme.Then,methods of the fault diagnosis and fault tolerant control of micro gas turbine sensor were designed.Based on the principle of kalman filter algorithm and BP neural network,a fault diagnosis and signal reconstruction module based on extended kalman filter and BP neural network were designed and built respectively for two fault modes of T100 micro gas turbine sensor bias and drift.Simulation results showed that these two methods can effectively diagnose and isolate fault sensors,and reconstruct the correct signal to ensure the T100 micro gas turbine control system to continue safe and stable operation.Then,the integration and verification of the component level model,fault diagnosis and fault tolerant control algorithm of micro gas turbine on the full digital simulation platform were carried out.Using code generation,the T100 micro gas turbine component-level model,constant temperature controller,method of fault diagnosis and fault-tolerant control algorithm established with the method of model based design method were integrated and validated in the full authority digital electronic control system design FWorks integrated platform.The FWorks digital simulation platform for the development of demand and technology development were analyzed in this paper.And the model and algorithm code compilation encapsulation,FWorks platform integration method and the process were introduced.The consistency of the model to code transformation was verified by comparing the simulation results of the test case.Finally,the integration and verification of component-level model,fault diagnosis and fault tolerant control algorithm on hardware-in-the-loop simulation platform were studied.The main functions,basic architecture and working principle of hardware on hardware-in-the-loop simulation platform were summarized in this paper.And the method of code compilation and encapsulation,interface configuration,and call of burn and write for the integration and verification of model and control algorithm in hardwarein-loop simulation platform were introduced.The effectiveness of the model and algorithm was verified by comparing the simulation results under the same test direction as the full digital simulation.