The Research Of Predictive Control Based On U Model For A Class Of Non-linear Dynamic Plants

In the actual production process,the nonlinear characteristic is widespread,the control problem of nonlinear is difficult to avoid and needs to solve in control theory and engineering research.However,as the traditional control methods cannot meet the actual demand,a suitable or general mathematical model play an important role in studying the nonlinear dynamic model of system control method.The paper is based on the model of "U",to make the effective control and get partly results or progress of the complicated nonlinear control system through the implementation of different control strategies.Making every effort to provide an stable nonlinear control method for the actual production process.Generalized predictive control is a strong robustness of model predictive control algorithm and has a wide applicable scope,especially have better control effect for nonlinear control system.Considering the generalized predictive control algorithm with good control effect and extensive practical application these two advantages,combining the predictive control algorithm and U model,getting the solution of optimal control system through the iterative Diophantine equation,then simulate by the actual production data to get the nonlinear predictive systems controller which can be applied to the actual production process to solve some nonlinear problems.We can found that there are obvious errors in the process of control in the simulation of generalized predictive control algorithm of U model.For this problem,to join the PI structure,combined with the advantages of PI control and generalized predictive control which means the proportional integral feedback structure is combined with the prediction of the generalized predictive control,through the adoption of a new objective function.Finally,through the way of off-line and real-time simulation shows the feasibility and the superiority of the control algorithm,Provide a more reliable control algorithm for the actual production of the nonlinear system control.All the above research is for the single input and single output system.For multiple input multiple output that exist in the real production system,this paper puts forward the MIMO nonlinear systems based on U model,using the improved generalized predictive controller to control and using linear control ideas to solve nonlinear problems.Get the expression multi-input multi-output(MIMO)nonlinear system model according to the single input single output nonlinear systems U model expression.Using the generalized predictive controller to control on these basis,This is not only a new understanding of U model,but It is a breakthrough for multi-input multi-output(MIMO)nonlinear dynamic system,It also provides a new train of thought for the control of MIMO nonlinear systems.