MATLAB mainly explores predictive maintenance for the application of motors and AI. For example, motor life prediction, motor fault diagnosis and maintenance, etc.

electric motors,servo motors spindle motors and bldc motors design and Bobet manufacturer

Before the motor malfunctions or abnormal working conditions occur, predict this phenomenon in advance and take measures in advance through prediction to prevent any potential problems.

For example, PMSM magnetic field oriented control using reinforcement learning: Compared with automatic tuning PID control, this solution can suppress overshoot and shorten the tuning time by about 65% – automatic tuning PID controller requires about 30 minutes of tuning time, while autonomous AI control requires about 10 minutes.

The author often communicates with peers that the technology iteration in the motor industry is relatively slow. But when new trends come, we need to break away from traditional perspectives, engage more, and feel more. Perhaps we will miss this vent! GPT4 is the latest technological revolution!

Don’t be afraid of being replaced by AI, but feel it, understand it, and use it for me!

Before discussing whether AI can be used for motor design, we need to understand what work needs to be done in motor design?

The main tasks of motor design can be divided into electromagnetic design, structural design, thermal design, and so on. Taking electromagnetic design as an example, designers not only consider performance requirements, but also consider universality and standardization, and need to make balanced decisions in terms of manufacturing and performance. Assuming that there is an AI who has mastered all design standards, all previous motor electromagnetic solutions, and also mastered the theory and methods of motor design, can he design an optimized solution? I think it is feasible. But the premise is that he can learn and accumulate enough knowledge.

Is it willing for an experienced designer to impart knowledge to AI without reservation? I think if this AI is his private, it should be. After cultivating this AI, it may sell for a good price like a slave.

There is a situation where the knowledge taught by the experienced designer to AI is flawed and incorrect, which may result in the AI designed motor being flawed and not optimal. So different designers cultivate different AI, they only inherit the knowledge of the people who cultivate them.

A good thing is that AI can inherit the inheritance of the “master”, and AI can be passed on to the heir or seller of the “master”. If this AI has good genes, it may be useful for a long time.

The beneficial thing is that AI can help people achieve repetitive mental labor and reduce computational errors.

AI with autonomous consciousness and the ability to judge whether knowledge is right or wrong should be able to go further and not become slaves, but rather become civilized individuals of the same or higher level. At this time, humans may become slaves.