Research on Suppression Method of Jump Points for Multipole Magnetic Encoder Based on Fuzzy Logic and Ant Colony Optimization

Magnetic encoder, at present, seems widely employed in real-time feedback and dynamic monitoring of servo control systems with closed-loop design. In order to settle the issue that jump points of angle value occur possibly as the multipole magnetic encoder crosses the adjacent magnetic poles, the suppression method of jump points based on fuzzy logic (FL) is adopted to realize angle subdivision. Aiming at judging angle values in the fuzzy region, the upper and lower windows for pole number discrimination are established, of which an appropriate window width is screen out by ant colony optimization (ACO). The compensation table is completed by angle error compensation algorithm of dynamic interval division, which is solidified in the microcontroller unit (MCU), eliminating the high-frequency noise of the error table. Finally, the angle value of magnetic encoder is corrected by the lookup table method. The results show that the misjudgment of angle value caused by jump points as the multipole magnetic steel at zero crossing is capable of being suppressed effectively by the proposed method. The resolution and accuracy can reach 0.111° and 0.180°, respectively.