Design And Simulation For Gas Turbine With Robust Adaptive Control Technique

Air pollution,almost causing by the product of energy consumption in the daily activities,has been aroused much attention,which accelerates the trend of energy transformation.However,lots of sustainable resources cannot provide continuous and stable energy,for their characteristics of intermittent power providing,such as solar energy,wind,tidal energy.The gas turbine generation system utilizes high energy fuel to generate mechanic energy,which is releasing from natural gas burning process.It responds quickly and efficiently to the customers’ side demand,those of which demonstrate vast potential as an alternative generation power system while the sustainable resources intermittent occurs.As one part of the hybrid power generation systems,gas turbine can be used to strengthen the stability of the power supply system,which will boost the development of the renewable generation systems.Gas turbine is rather a complex and unknown nonlinear system,one of whose most important parts is the speed control loop,where traditional PID controllers were always applied to.However,the parameters of controllers cannot be adjusted automatically such as load changes,which will make the power systems with poor performance.Besides,considering that the actuator fault occurs,traditional controllers cannot guarantee the stability of the system,which may lead to the plants operate under abnormal conditions or result in the grid unsteady.Therefore,according to the problems stated above,this paper is constructed as follows:(1)The parts of gas turbine generation system and its components are analyzed.Various operating conditions under different turbine components,different types of loads and shaft structures have been analyzed in detail.Focused on a simplified single-shaft gas turbine generation system under stand-alone operation,this paper analyses its thermal cycle processes and rebuilds Rowen’s mathematical model.Finally,the control systems of the gas turbine have been discussed.(2)Based on the system model,a backstepping approach is developed for the speed tracking loop.Meanwhile,to solve the computational explosion problems resulted from the complicated partial differential calculations of some nonlinear terms in the high order backstepping method,a dynamic surface control(DSC)approach is utilized and first-order filters are introduced to the first three subsystems.Finally,verify the stability of the system with Lyapunov functions and simulations.To test the effectiveness of the controller,the system responses under different load are analyzed.(3)Considering in the actual industrial field,it is difficult to establish the GT model or calculate the system parameters.And unknown disturbances maybe influence the control effect.Therefore,this chapter proposes a robust adaptive approach,which is independent of the system model parameters.And a Nussbaum-type function is introduced to deal with the unknown control gain.Moreover,actuator failure may occur in the actual systems,which will make the systems respond only relying on the existing signals,leading to poor performances.Besides,the unknown and time-varying faults may bring instability to the systems.Therefore,this paper introduces a fault tolerant control solving the time-varying and unknown terms,which is caused by the actuator fault.Finally,both theoretical analysis and simulation results verify the stability of the system.Each of these authenticates that the presented controller can ensure the system stability while actuator fault appears,and the controller can also ensure high precision tracking performances.