Study Of Output Distribution Control Theory And Its Application

Stochastic system control is important and basic in the field of control theory and its application. So far, many researches have been done for the control of stochastic system, most of them are for Gaussian system, however, in practical industry, non-Gaussian system is widespread, the mean and variance cannot completely represent all the information of the system. Therefore, a new method that directly control the output distribution is proposed. Compared with traditional control methods, this method is more general.The main research work in this paper is divided into three parts, the first part aims at the output distribution predictive functional control for molecular weight distribution. Due to the shape of molecular weight distribution is complicated, the output distribution must be directly controlled. Compared with the generalized predictive control algorithm, the output distribution controller based on predictive functional control algorithm is introduced to shape the molecular output distribution as close as the expected output distribution. The second part studies on the output distribution controller for maximum wind energy capture in wind power generation system. Considering the actual wind speed is following non-Gaussian distribution, a probability density function controller is designed, and the Renyi entropy is adopted into the performance index, at last, the gradient descent method is used to obtain the optimal control input. The third part is in view of designing output distribution controller for flywheel energy storage power generation systems to smooth the output power. Because of the output power of the wind turbine is randomly fluctuated with wind speed, the output distribution controller is selected to achieve good control effect, the effectiveness of the control algorithm is verified through the simulation results.Above all, this thesis further researched the theory of the output distribution control and its application of molecular weight distribution and wind power system, enriching this theory and expanding its application range.