A Method to Improve the Response of a Speed Loop by Using a Reduced-Order Extended Kalman Filter

Tao Liu, Qiaoling Tong, Qiao Zhang, Qidong Li, Linkai Li and Zhaoxuan Wu
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Tao Liu: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Qiaoling Tong: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Qiao Zhang: School of Automation, Wuhan University of Technology, Wuhan 430074, China
Qidong Li: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Linkai Li: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
Zhaoxuan Wu: School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China

Energies, 2018, vol. 11, issue 11, 1-16

Abstract: In servo systems, encoders are usually used to measure the position and speed signals of electric machines. But in a low speed range, the traditional M/T method has a larger time delay, which will cause an increase of the speed loop order and degradation of the speed loop performance. A method employed to reduce the delay of speed feedback by using a reduced-order Extended Kalman Filter (EKF) is introduced in this paper. The speed of the permanent magnet synchronous motor is estimated by the reduced-order EKF in a low speed range, which reduces the delay of speed feedback and extends the cutoff frequency of the speed loop to improve the dynamic performance of the servo system. In order to solve the issues that the traditional full-order EKF is sensitive to the inertia of the system and computationally complex, a composite load torque observer (CLTO) is proposed in this paper. The load torque and the friction torque are simultaneously observed by the CLTO. Additionally, the CLTO is used to reduce the order of the EKF, which reduces the sensitivity of EKF on inertia to enhance the robustness of the algorithm and simplifies the computational complexity. The feasibility and effectivity of the above method are verified by simulations and experiments.

Keywords: reduced-order EKF; response of speed loop; composite load torque observer; PMSM (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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