Error Compensation Modeling and Learning Control Method for Thin-walled Part Milling Process

doi:10.3901/JME.2018.17.108

Abstract

Abstract: Compensation and learning control method of machining error is proposed to solve the deformation problem in thin-walled part processing. Based on elastic deformation, the nonlinear function between machining error and nominal depth of cut is established. Utilizing the idea of error compensation, the general compensation model of thin-walled part cutting error is developed, which means the calculation method of next nominal depth of cut. After that, four different solutions for compensation model are presented using mathematical and physical principles. Considering the mass process of multi-parts with single-step and the advantages of four solutions, the secant method with initial point is chosen to construct the discrete control system of error compensation. Applying the feedback principle, the offline learning of compensation coefficient is implemented to control machining error exactly. Finally, the flank milling is applied to verify the effectiveness of compensation model.

Key words: coefficient control, error compensation, offline learning, thin-walled part

CLC Number:

TG156

HOU Yaohua, ZHANG Dinghua, ZHANG Ying. Error Compensation Modeling and Learning Control Method for Thin-walled Part Milling Process[J]. Journal of Mechanical Engineering, 2018, 54(17): 108-115.

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