Study On The Control Strategy Of Micro-turbine System With Stochastic Perturbations

As the main form of distributed power generation systems, micro-turbine systems has been widely used in commercial and industrial areas with the advantage of low pollution, high power density, safe and reliable. With the development of clean energy technologies and distributed generation technologies, the performance of Micro-turbine systems has been improved. However, there is stochastic perturbation problems when micro-turbine systems running, including the change of system model parameters and the stochastic perturbation in the observer status and sensor, etc., which will be a serious threat to the safe operation of the system. Therefore, how to eliminate the micro-turbine system stochastic parameter perturbation problems and ensure the safety and economical operation of the system has an important theoretical and practical significance. This paper mainly discusses the influence of stochastic parameters perturbation on micro-turbine system operation, studies an optimal control strategy based on the micro-turbine linear model in depth, as well as a Kalman filter method for the problem of stochastic parameters perturbation on the micro-turbine system operation, and on the basis of stochastic optimal control studies an fault-tolerant control strategy.This paper briefly describes the mathematical model of the micro-turbine, and obtains the micro-turbine linearized mathematical model by selecting the parameters of 30 k W micro-turbine system, discusses the basic theory and method of optimal control in detail, derives the basic design conditions of optimal controller, and obtains the optimal control principle by solving Riccati equation, and builds closed-loop feedback control system based on optimal controller, verifies the reliability and effectiveness of the designed optimal control controller by Matlab simulation. Considering the control system stochastic parameter perturbation problem, on the basis of stochastic optimal control theory, this paper discusses the basic principle of the Kalman filter design, and derives the system differential equations based on the Kalman filter, by given the Kalman filter algorithm, we construct the structure of the Kalman filter, the Matlab simulation results show that the designed Kalman filter algorithm has potently inhibited the stochastic parameter perturbation for the micro-turbine system. Finally, this paper proposes the system integrity requirement and studies a fault-tolerant control strategy of the micro-turbine system, ensuring that when the sensor system failure, the system can still be able to operate stably, based on the micro-turbine systems, we have designed the fault-tolerance control strategy, and demonstrates the effectiveness of this method by numerical examples as a supplement of the stochastic optimal control strategy.