Study On Predictive Control Strategy Of Hydraulic Turbine Regulating System

Stable and efficient operation of the hydraulic turbine regulating system(HTRS)is an important guarantee of safe and high-quality power output from hydropower plants.Against this background,this paper builds the linear and non-linear mathematical models of the HTRS based on an in-depth study of the main components of the HTRS,and condenses the two major problems faced by the HTRS in terms of control strategy design and parameterization.The advanced control strategy design and control parameter optimization of the HTRS are explored deeply by combining model predictive control(MPC),PID control,fuzzy control,and particle swarm optimization(PSO),and the main contributions of this research are as follows:(1)The HTRS was divided into four parts: the water diversion system,the hydraulic turbine,the generator and the speed regulator,and the mathematical model of each part was built based on the knowledge of hydraulics and related physical laws.The linear and nonlinear mathematical models were integrated into the HTRS according to different research requirements,respectively,laying the foundation for the subsequent design of control strategies and optimization of control parameters.(2)The linear mathematical model of the HTRS was used as the object of study and its time domain response characteristics of the system variables under different working conditions were analyzed.Generalized predictive control(GPC)is applied to the HTRS,its effectiveness is verified by simulation examples.The superiority of GPC in the HTRS control problem is explored by comparing the dynamic performance of the HTRS under dynamic matrix control(DMC)and state space model-based predictive control(SSPC).(3)An integer-order PID control and a fractional-order PID control(FOPID)were applied to the HTRS,and the advantages and disadvantages of the two control methods were compared.Furthermore,a PID predictive control(PID-GPC)strategy is proposed,and the results verify its feasibility.Finally,the control parameters for FOPID and PID-GPC are optimized using the particle swarm optimization algorithm(PSO).(4)The fuzzy control is introduced and a fuzzy PID control strategy(FPID)is proposed in response to the poor adaptability of the traditional control strategy to the complex nonlinear mathematical model of the HTRS.Further,given the strong capability of the T-S fuzzy mathematical model to describe nonlinear models,a scheme for predictive control based on Type-1 T-S fuzzy mathematical model(T-1 T-S)is proposed.And in conjunction with the particle swarm optimization algorithm,a parametrically optimized Type-2 T-S fuzzy mathematical model(T-2 T-S)is plugged into the predictive control,and the results demonstrate the effectiveness of this strategy.