Design Of Positioning Control System Based On Fuzzy Logic Control And BFOA

Throughout the development trend of weapon equipment, which is supported by digitization, is developing toward automation and informatization rapidly. Based on a certain type of artillery positioning system performance improvement, we propose a position servo system control strategy with permanent magnet synchronous motor as the servo motor, view to the performance of equipment is more superior.First of all, the development and the performance indicators of positioning control system are introduced, then a positioning servo system model is established, which is based on the principle of space vector control. We choose the digital PID controller and fuzzy controller as the position loop controller respectively, and the parameters of the fuzzy controller are optimized by bacterial foraging algorithm, in order to make the performance of positioning control more optimized.In order to realize the fuzzy control for the position control system, we set up a permanent magnet synchronous motor control system based on dsPIC33F. The core controller is dsPIC33F, and using IGBT as the power switching devices for the design of hardware. Peripheral circuit including current protection circuit, the isolation circuit and power supply circuit, etc. C language is used for programming, and the offline design for the fuzzy controller is introduced in detail.In the Matlab/Simulink environment, we set up a simulation model for the position servo system. Respectively using the digital PID controller, fuzzy controller and the fuzzy controller with optimized parameters as the system position loop controller. Compares the effect of the system position response using three different control strategies. We compare the ability to resist disturbance of digital PID control and fuzzy control by adding the torque disturbance in the rising stage of the curve.Through constructing experimental platform and program, we completed the debugging of the position control system. The experimental and simulation results show that the traditional digital PID controller is difficult to satisfy the requirement of control performance when the system parameter is changed. Ordinary fuzzy controller is better than PID controller, but its dynamic performance is still not ideal. After parameter optimization, the performance of the fuzzy controller is optimization, its positioning control effect is greatly increased, and its ability to resist disturbance torque is stronger. Therefore, this kind of control strategy can adapt to the requirement of equipment performance very well.