Humanoid MPC Algorithm in Energy Storage and Modeling of Stepper Motor
In the process of energy storage and compensation of stepper motor,there are some problems such as low modeling accuracy,distortion of input sampling,variable model structure and mismatch of load output,so that the energy storage and compensation can not reach the expected design standards.Therefore,humanoid MPC algorithm is introduced into the mathematical modeling process of stepper motor.Firstly,the mathematical model construction process from input sampling to output feedback as well as the working principle of stepper motor storage and model-ing are analyzed.Secondly,in response to model mismatch and dynamically changing parameters that can have im-pact on stepper motors,the use of a humanoid predictive control strategy effectively solves the accuracy problem of energy storage and compensation.The simulation results show that the control results have good performance when the model is matched,and can still run satisfactorily when the model is mismatched,so that the energy storage and modeling amplitude and error accuracy can meet the requirements.
MPC algorithmhumanoid predictive controlstepper motor energy storagepower loss and compensa-tionmodeling and simulation
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