Optimization of Multi-Intelligent Robot Control System Based on Wireless Communication Network

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