[Retracted] Optimization of Multi‐Intelligent Robot Control System Based on Wireless Communication Network

Abstract

The robot is a very complex multi-input multioutput nonlinear system. It has time-varying, strong coupling, and nonlinear dynamic characteristics, and its control is very complicated. Due to the inaccuracy of measurement and modeling, coupled with changes in the load and the influence of external disturbances, it is actually impossible to obtain an accurate and complete dynamic model of the robot. We must face the existence of various uncertain factors of the robot. This paper analyzes the real-time communication protocol in the wireless network control system and confirms that the main way to improve the real-time performance of the wireless network control system is to implement the real-time media access control (MAC) protocol. This paper studies robots from the perspective of control and mainly discusses how to use artificial immune algorithms to design robust nonlinear proportion integral derivative (PID) controllers. A nonlinear PID controller is used to replace the classic PID controller. The nonlinear link can be adjusted with the change of the error, so as to achieve the purpose of improving the adaptability and robustness to obtain satisfactory tracking performance. We carried out selective compliance assembly robot arm (SCARA) robot remote control experiment, dual robot following experiment, SCARA and ABB robot collisionless motion planning experiment, and multirobot intelligent collaborative assembly experiment. The experimental results show that the C/S mode remote control system has good practicability and can complete remote tasks; the P2P communication system has good information transmission effects and can realize real-time information sharing between robots; the collision-free motion planning algorithm enables the dual robots to complete obstacle avoidance tasks well in complex operating environments; the functional modules of the system can closely cooperate to complete the tasks in coordination, and the multirobot system has a certain degree of intelligence.

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

“…For the relatively stable sequence after wavelet decomposition, it is predicted directly by LSTM neural network prediction model. For the noise sequence, the standard deviation sequence is calculated and then predicted by the LSTM neural network prediction model [20]. Finally, the prediction results of the two prediction models are integrated, and the predicted confidence interval of wireless sensor network communication link reliability is calculated.…”

Construction of motion control system based on PID algorithm and artificial intelligence

“…According to the project requirements, it is necessary to design a mobile robot motion control system that can realize the functions of moving on the flat, climbing hills, climbing stairs, crossing obstacles and crossing trenches, and can be controlled remotely. Under various environmental factors, such as indoor and outdoor, in order to ensure that the robot can work normally and stably, the robot needs to have a stable mechanical mechanism, and at the same time, the robot needs to have the ability to climb hills, cross obstacles and cross trenches to ensure that it can successfully complete its tasks in a complex working environment 7 . The robot can play an auxiliary and supporting role in adjusting the direction and steering the load-bearing wheel; By adjusting the load-bearing wheels, the center of gravity of the robot can be changed, and the demand for friction force in the steering process of the tracked vehicle can be reduced, thus improving the maneuverability and steering ability of the robot 8 .…”

Research on the Construction of Intelligent Robot Path Recognition System Supported by Deep Learning Network Algorithm

“…Among them, intelligent robots are robots that can perceive, think and act, which are mainly embodied in the possession of some functions of the human brain, autonomous recognition of the environment, and flexible action, which is an advanced product of the development of artificial intelligence. With time, the application of intelligent robots from the industrial and military fields began to develop in the non-industrial fields in recent years, especially in the field of intelligent home and mass entertainment, including all kinds of robotics competitions [2][3].…”