Cutting Characteristics Analysis And Control Strategy Research Of Building Block

With the development of construction industry in our country and the enhancedprotection for the environment, the demand for green environmentally-friendly materialscoming from the industrial waste is increasing gradually. Among them, the aerated brick,the hole brick, the blind hole brick and the gypsum board which are the productions ofsecondary use of fly ash, desulfuration gypsum and so on are the most favored. Especiallythe aerated brick is the most commonly used in high-rise buildings. Cutting unit is one ofthe important compositions of the equipment in aerated concrete block production line, theproduct percent of pass is directly affected by the cutting precision and efficiency. In thispaper, considering the aerated brick cutting machine, the cutting characteristics of thecutting machine are analyzed. Aiming at the repeatability during the cutting machineoperation and the uncertainty of the system parameter, an iterative learning controller isdesigned, and the stability analysis is carried out. The main work is as follows:Firstly, on the basis of a large number of relevant technical literatures, this paperexpounds the development history, the present situation and the production technologicalprocess of the aerated concrete block production line. At the same time, the type of cuttingunit and the characteristics of each of the cutting machine are analyzed. Focused on thecutting principle of the cutting machine and the stress of the sawing wire, this paper makesa deep research, and the mathematical model of the cutting machine is established.Secondly, aiming at the parameter uncertainty of the cutting machine modeling, arepeat trajectory tracking control strategy is put forward on the basis of iterative learningmethod in this paper. For this strategy, the corresponding adaptive iterative learningcontroller and the iterative learning controller with composite energy function aredesigned for constant and time-varying uncertain system parameters. The effectivenessand practicability of the proposed control strategy during the repeated trajectory trackingare proved by the numerical simulation.Thirdly, during the repeated trajectory tracking, considering the invalid iterationpoint in the linear system with uncertain time-varying parameters, the iterative learning controller is improved. The convergence error can not be eliminated completely becauseof the invalid iteration points. To solve this problem, a compensation term is added to theprevious iterative learning control algorithm to eliminate the influence from the invaliditeration point. The effectiveness of the improved iterative learning control algorithm isvalidated by the numerical simulation of the cutting machine repetitive trajectory tracking.Finally, considering the influence of the external disturbance on the cutting system,in the new controller, a robust term is added to improve the anti-interference ability ofsystem. The effectiveness of the scheme is validated by the numerical simulation.