Research on Synchronous Control of Gantry-type Dual-driving Feed System based on Fuzzy Single Neuron PID Cross-coupled Controller

The dual-driving feed system (DDFS) based on drive by center of gravity technology has been widely used because of its strong load capacity and better dynamic performance. For the influence of high feed speed and movement of moving parts on gantry-type DDFS, a new cross-coupled control algorithm was proposed. Based on the motion equation of DDFS, the differential equation of DDFS is obtained by considering the mechanical coupling of two axes and the change of friction on both sides of the beam caused by moving parts movement. The dynamic model of DDFS is obtained by Laplace transform. Use this dynamic model to design a single neuron PID cross-coupled controller (SNC) to optimize the synchronous performance and anti-interference ability between two axes. In addition, the fuzzy single neuron PID cross-coupled controller (FSNC) is designed to adjust the single neuron proportional coefficient K. The simulation and experiment show that the FSNC has the best synchronous performance and anti-interference ability when dealing with the movement of moving parts and the high-speed feed of beams.