Realization method of fuzzy neural network speed synchronous control of dual motor
                                                          YANG Qian ming, HONG Guang yuan, HU Kai wen, WANG Wei

                   (College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266590, China)


Abstract: Aiming at the problem of the sweep arm of the oil for the embedded type oil spill recovery machine and fence reel dual motor electro hydraulic driving speed synchronous control, the constitution, working principle and control requirement of the drive system consisting of the sweep arm of the oil and fence reel were expounded. The dual motor fuzzy neural network controller was established basing on equivalent control strategy and introducing the fuzzy neural network control theory. The simulation of the fuzzy neural network control system and the PID control system was carried out and the contrast curve of step response and linear speed synchronization error was also obtained using the Matlab software. The stability of the speed synchronous control system was discussed and the characteristics of linear speed synchronization error and its causes were also analyzed. The results indicate that the fuzzy neural network control system has no overshoot almost and the adjustment time is 5.2 s, the PID control system overshoot is 23% and the adjustment time is 8 s. When the speed achieves stability the linear velocity difference of the fuzzy neural network control system is 7 mm/s and that of the PID control system is 16 mm/s. Therefore the dynamic response and steadystate characteristics of the fuzzy neural network control are better compared to the PID control. Besides, the synchronization error and the synchronization precision of the fuzzy neural network control is smaller and higher compared to the PID control.

Key words: oil spill recovery machine; dualmotor; speed synchronous control; fuzzy neural network control; PID control