Research on MPC Algorithm of Human Simulating Predictive Control in Energy Storage and Modeling of Stepping Motor
Department of Urban Rail Transit and Information Engineering, Anhui Communications Vocational & Technical College, Hefei 230051, China
| Abstract: | The essence of energy storage and release in the power system is the process of converting the driving mode of the motor, stepper motors have the advantages of fast speed regulation, high output power, and high stability, but its dynamic modeling structure is relatively complex, requiring comprehensive consideration of factors such as mechanical transmission and balance of each component, circuit safety, etc. The article proposes an MPC (Model Predictive Control) algorithm based on humanoid thinking, addressing errors and fluctuations in energy storage during the establishment of model structures, simulating the interaction between manual intervention and automatic control can handle issues such as parameter collection mismatch and mathematical model mismatch. Solving the problem of mutual constraint of parameters in the energy storage structure of stepper motors, which affects the stability and error fluctuation of motor energy storage. When the model structure does not match, the humanoid MPC algorithm does not require accurate model parameters, the energy storage process can be controlled through manual adjustment based on the output results and feedback requirements. It has the advantages of clear physical concepts, high accuracy in simulating human thinking modeling, fast error adjustment and output response time, and high stability. |
| Keywords: | Energy Storage in the Power System; Modeling of Stepper Motor; MPC Algorithm; Predictive Control; Humanoid Thinking |
| DOI: | 10.57237/j.mse.2024.03.001 |
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Received: 31 July 2024
Accepted: 18 September 2024
Published Online: 26 October 2024
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