Research progress on multi-domain simulation of robot precision analysis technology

Although the research on precision analysis and error compensation has been carried out for many years, the theory of virtual flexible joints has emerged. However, for robotic institutions with less than 6 degrees of freedom, it is necessary to carry out instantiation assumptions and special treatments in order to apply traditional analysis methods, which not only causes complicated formulas. It is difficult to understand, and error analysis is usually not possible. To this end, Professor Huang Tian et al. proposed an integrated modeling system that can be used for both velocity analysis, static stiffness analysis and error analysis based on the variational principle and linear space theory. The system can automatically construct a unified form of generalized Jacobian matrix. In all the analysis, the influences of the Xuanhe spiral and the constrained helix can be included, and it is easy to construct the evaluation index that does not depend on the coordinate system selection. The establishment of this theory fills a lot of gaps in the traditional performance analysis of robots in the performance analysis of robots, and has been successfully used in the accuracy budget allocation of robots and machine tools.

Industrial robots are typical multi-domain physical systems. Among them, the numerical control system is an important factor affecting the performance of the robot. Therefore, the influence of the numerical control system should be fully considered in the digital design stage. The performance of the system is estimated by the high-fidelity mechanical model and the electromechanical simulation of the numerical control system to explore the potential of the control system.

In addition, some robotic systems involve non-mechanical factors such as hydraulics, pneumatics and thermal cycling. Fortunately, the existing mainstream CA [software (such as ModeIica, Recurdyn and Samcef, etc.) provide better support in electromechanical integration and multi-domain simulation. The main research focuses on high-reality CNC systems and drive system modeling. However, for Chinese researchers, because most of the foreign drive manufacturers do not provide the details of the servo package and drive circuit, the accurate modeling and optimal control of the drive and servo motor are still very challenging. In addition, new control algorithms (such as auto disturbance rejection control, input shaping control) are easy to calculate due to the frequency response characteristics of the whole system, so they are all popular. The combination of these algorithms with control algorithms such as robust control, fuzzy control, and sliding mode control is also an important development trend in the future.

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