Research Of Model Predictive Control For Temperature Field In Nano Flexible Manufacturing

Nano-manufacturing technology is a new generation of hot technology in themanufacturing,Of great significance for human applications of nanomaterials.Thetemperature field control of the Nano-manufacturing micro-environment plays a veryimportant role in the nanometer manufacturing process.However, nano-manufacturingmicro-environment has a large time delay,nonlinear distortion, uncertainty, time-varyingand complex constraints, Traditional PID control is difficult to ensure stability, precise anduniform temperature field in a large enough range.Must be used with model predictions"rolling optimization and feedback correction features of the model predictive controlcoordination to deal with such complex features.This paper Based on the thenanomanufacturing constant dynamic characteristics of temperature control box, the use ofsystem identification methods to identify a mathematical model of the temperature controlbox and analysis of model predictive control,dynamic matrix control algorithm(DMC),DMC control algorithm in the incubator temperature the control system simulationand compared with the conventional PID control effect.Firstly, analysis the dynamic structural properties of the micro-environmenttemperature control box nanomanufacturing,Verify the obvious advantage of anti-jamming,high precision compare with the design of the structure of the separate incubators andone thermostat box, Use the methods of system identification to identify the mathematicalmodel of the temperature control box.Then, analyzed the model predictive control, the dynamic matrix control algorithm intheory, Dynamic Matrix Control experiments easy to get the step response curve as apredictive model.compare with the PID control, It needs more preparatory work offline,including the model coefficients ai, calculated off-line control parameter di.Use the rollingoptimization and feedback correction strategy, the control quality is improved, andsufficient to overcome the uncertaintiesFinally,base on the identified model of the temperature control box,simulinked themodel predictive control algorithm, Analyzed the effection of the DMC parameters in thecontrol, the simulation showed that, compared with PID control, predictive controlalgorithm is able to achieve fast response and strong anti-interference and robustness in the incubator temperature control...