PREDICTION AND ANALYSIS OF ROBOTIC ARM TRAJECTORY BASED ON ADAPTIVE CONTROL

The parameters of the manipulator change dynamically, so how to make the manipulator complete the preset working trajectory in effective control is the key to control. Different structures of traditional manipulators requiring multi-point control are not easy to model in their systems, and the control methods are not good. The traditional manipulator control method is PIDM control. Significant progress has been made in genetic variation research that combines traditional PID control with genetic algorithms, which can improve the parameter settings of traditional PID control. Based on the trajectory prediction of the manipulator based on adaptive control in this study, the following conclusions are drawn: (a) The control objective is to ensure the stability of the system, improve the accuracy of monitoring, and adjust the shape variables, such as the angle and angular velocity of each connection of the manipulator according to the required angle and angular velocity, speed is increased. (b) The sequential mode adaptive control method has been successfully applied in many fields, such as machinery, physics, and system management, which proves its importance and irreplaceability in complex dynamic systems. (c) Feedback synthesis is the use of different geometric methods to select the shape-space coordinate changes necessary to transform nonlinear system connections into linear system shape connections, and then apply classical control concepts to the online site so that the system satisfies the desired performance. (d) The robotic arm servo system is a nonlinear control system. It can eliminate and compensate the influence of influencing factors on the system. © Copyright owned by the author(s).