Redundant Manipulator Motion with Automatic Control Algorithm for Industrial Robots

The automatic control algorithm for a heterogeneous redundant manipulator is presented in this study. Due to its unique approach, the control system can employ a novel hybrid technique to address the inversion-kinematics (IK) problem. This article proposes the Redundant Manipulator Motion of Industrial Robot (RMM-IR) approach, which combines ANFIS and iterative refinement to improve performance. Its modular architecture may easily adapt to various building types while providing outstanding integration possibilities. The manipulator architecture is defined by statistical equations, which are subsequently used to generate the workspace. These expressions must be known to make the neuro-fuzzy networks and generate network training data. The research considers modelling a five-degree freedom (DOF) industrial manipulation as an example of how the control system may be implemented. The study also describes a digital world that uses a three-dimensional virtual model to depict a robot's real-time movements. A mechanical manipulator model has been used to test the simulation outcomes. A Festo servomotor and Siemens programming logical controllers are included in this design.