Brushless DC motor has high reliability and strong anti-interference ability under the addition of position sensor technology, and position sensor-less control has become one of the hot spots in the research of brushless DC motor. In this paper, the second-order super-helical sliding mode observer is designed for the shortcoming of the traditional sliding mode observer, which is easy to cause large errors in the calculation of the arctangent function, replacing the traditional arctangent function with a phase-locked loop, and replacing the traditional symbolic function with a new type of continuous function. By building a simulation model and verifying it, the method used in this article can not only reduce the impact of vibration, but also improve observation accuracy and reduce the error in observation.
KEYWORDS: Genetic algorithms, Mathematical optimization, Picosecond phenomena, Control systems, Fuzzy logic, Genetics, Control systems design, Signal processing, Reflection, Image processing
Due to the inherent shortcomings of traditional PID control, such as manual adjustment of PID parameters and slow response speed, it is precisely because of these problems that the motor PID control cannot achieve the desired effect. A motor PID control algorithm based on GA optimization algorithm is proposed to address the inherent problems of traditional PID control. Establish GA optimized PID control simulation and fuzzy control PID simulation on the platform, compare the step response curves obtained by the two, and explain the differences between the two and traditional PID control, as well as the shortcomings of traditional PID control that have been improved.
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