Control Of Non-square Systems And Its Application In The Fuel Cell

Victoria-variable system is common in high-production process and manufacturing processes.It contains two types:square system and non-square system.Input and output dimensions of square system are equivalent,however,input and output dimensions of non-square system are not equivalent. And non-square system contains fat system and thin system.Fat system is overdetermined system,ie input variables are more than output variables.Thin system is uncertain systems,ie the input variables is thin than output systems.The increasing demand of industrial control,and the change of input variables and operating conditions,results non-square system.For non-square system control,the traditional control methods are difficult to meet the requirements,so we need the new methods to meet the higher demand.The main study object of this paper is non-square system.Through using new contrlo methods,we will control non-square system effectively.First, in this paper, smith delay compensation controller based on internal model control(IMC) method is used to the fuel cell non-square system, dynamically compensates for shortcomings caused by static decoupling, and also overcomes the impact of model error. Then, a non-square system has unequal numbers of inputs and outputs and there exists coupling among its PID controllers. The coupling can’t be eliminated using conventional decoupling methods. thus it is hard to tune PID controllers for non-square systems. For predictive control system does not require input and output numbers are same, this paper also attempts to use predict control for the control of non-square systems. To enhance the usefulness of the method, this paper reduce model predictive control(MPC) into PID control, which can be easily applied to practical engineering.Proton exchange membrance fuel cell (PEMFC) are a new energy, which is efficient, environmentally friendly, renewable, and widely used in various fields. Fuel cell system includes the hydrogen supply system, oxygen(air) supply system, water and heat management system and control system. Fuel cell system has a strong complex, in previous studies, they mostly discuss the modeling of the fuel cell stack and control problems, however, this paper considering the fuel cell stack, hydrogen and oxygen supply system and control system. In addition, PEMFC is a typical non-square system, its control is difficult. So using advanced control algorithms for its effective control is also the research priorities of this paper. Finally, simulation studies verify the control program, and achieved good control effect.