Research on Active Disturbance Rejection Control of Induction Motor
Hucheng He, Chenyang Zhang, Cheng Wang
Abstract
Hucheng He, Chenyang Zhang, Cheng Wang
Abstract
For the induction motor vector control system, motor robustness is poor when motor parameters change with time, and the problem of complete decoupling was not realized. The active disturbance rejection control (ADRC) was applied to the vector control system in this paper .The tracking differentiator (TD) was used to solve the problem of noise amplification and the problem that the differential signal has a delay compared to the error signal. The nonlinear feedback control law (NLSEF) and the extended state observer (ESO) were used to eliminate the defects of the general vector control system. Comparing with the PI control technique, simulation results verify that the ADRC control method has excellent dynamic performance and strong robustness.
OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
For the induction motor vector control system, motor robustness is poor when motor parameters change with time, and the problem of complete decoupling was not realized. The active disturbance rejection control (ADRC) was applied to the vector control system in this paper .The tracking differentiator (TD) was used to solve the problem of noise amplification and the problem that the differential signal has a delay compared to the error signal. The nonlinear feedback control law (NLSEF) and the extended state observer (ESO) were used to eliminate the defects of the general vector control system. Comparing with the PI control technique, simulation results verify that the ADRC control method has excellent dynamic performance and strong robustness.
Key concepts: Control theory (sociology), Differentiator, Active disturbance rejection control, Robustness (evolution), Induction motor, Vector control, State observer, Computer science