Variable input length open-closed loop iterative learning control algorithm for permanent magnet linear motor

• Main Authors: OUYANG YUFENG, ZHAO ZHIJIA, WEI YUNSHAN, SHANG WENLI
• Format: Patent
• Language: Chinese; English
• Published: 23.06.2023
• Subjects: CONTROL OR REGULATION OF ELECTRIC MOTORS, ELECTRIC GENERATORSOR DYNAMO-ELECTRIC CONVERTERS; CONTROLLING TRANSFORMERS, REACTORS OR CHOKE COILS; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; ELECTRICITY; GENERATION

The invention relates to the field of motor control, and discloses a variable input length open-closed loop iterative learning control algorithm for a permanent magnet linear motor, and the algorithm comprises the steps: setting a sampling period of the permanent magnet linear motor; discretization sampling is carried out on an expected output track of the permanent magnet linear motor; discretization sampling is carried out on the initial control input voltage of the permanent magnet linear motor; and real control input voltage is obtained and acts on the permanent magnet linear motor, so that the actual rotor speed yk (t) of the permanent magnet linear motor is obtained, and a sampling output sequence is obtained to calculate an error sampling sequence of the rotor speed output by the permanent magnet linear motor system and the expected output speed. And finally, calculating the gain of the iterative learning controller. And 4, calculating the input voltage required by the next iteration of the permanent m