Aiming at solving the stability problem of linear Fresnel solar thermal power generation system

the terminal restricted nonlinear model predictive control(TLNMPC)strategy was put forward.The heat loss of heat transfer process was ignored and the system mathematical model was established as the prediction model of controller design.The terminal restricted conditions were converted to control quantity constraint and hybrid optimization model formed by particle swarm optimization(PSO)algorithm and the gradient descent method was added to model prediction rolling optimization process

which can obtain the optimal control of system quickly and accurately.Feedback correction was applied to modify the predicted value timely.According to different weather conditions

the target curve of outlet temperature was set.Through the MATLAB software

the TLNMPC and hybrid optimization TLNMPC(PSO-TLNMPC)were applied to track the target curve

and the predictive control results of two control strategies were compared.The results show that

the tracking error of the PSO-TLNMPC control algorithm is small and the control precision is high

which has better control effect than the basic TLNMPC algorithm.