Application Research Of Adaptive Predictive Control Algorithm Based On Multiple Models

The thermal objects in the industrial field often have the characteristics of large delay,large inertia,strong time-varying,and many unknown interference factors.Therefore,it is difficult for the traditional controller to obtain satisfactory control quality when the controlled object model changes.In thermal power plants,the above objects are more ubiquitous.In response to this controlled system,the researchers propose to use the multi-model adaptive control strategy to solve the time-varying characteristics of the thermal system during variable operating conditions.Similarly,the dynamic matrix control(DMC)algorithm is also proposed to solve similar problems.The control algorithm that appears in the controlled object,dynamic matrix control algorithm as a new type of advanced control algorithm,in the past 30 years,the development of the algorithm has achieved fruitful results,forming an unstable system with rolling optimization features and stability The theoretical system of robust design and other advantages.Based on this,this paper combines the multi-model adaptive strategy with the dynamic matrix of the predictive control algorithm in the algorithm design to form a dynamic matrix control algorithm based on multiple model sets.In this paper,the multi-model dynamic matrix control algorithm is first written and loaded in the device with Siemens S7-300 as hardware.Secondly,in order to verify the control effectiveness of the algorithm module and improve it,a set of The dual-capacity water tank is the physical experiment platform of the controlled object.After the module parameters are improved,the control effectiveness of the multi-model dynamic matrix module is verified.Finally,this paper combines Guodian's secondary reheating simulation unit reheat steam temperature optimization project,and uses the multi-model dynamic matrix control module designed in this paper to control.According to the actual simulation operation,it is successfully verified that the control equipment can effectively overcome the large delay and nonlinear characteristics of the secondary reheat system and achieve satisfactory control effects.