Multi-sensor-based Target Pose Estimation for Autonomous Precision Perching of Nano Aerial Vehicles

Do, Truong-Dong; Xuan-Mung, Nguyen; Nguyen, Ngoc-Phi; Lee, Jiwon; Lee, Yong Seok; Lee, Seok-Tae; Hong, Sung-Kyung

doi:10.23919/iccas55662.2022.10003944

Cited by 6 publications

(1 citation statement)

References 14 publications

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“…By synthesizing the above analysis, we can conclude that the theoretical approach to PMSMs is relatively mature. However, in reality, the application of control theory to actual industrial and agricultural equipment still requires a lot of work and testing [33]. Based on the performance requirements of a lawnmower in practical work, the researchers of this study selected a PMSM with a power of 500 W as a control object, built a hardware control platform around it, established an estimation model for motor speed and rotor position based on the extended Kalman filter, and designed a sensorless PMSM vector control system for a lawnmower.…”

Section: Introductionmentioning

confidence: 99%

Position Sensorless Vector Control System for Lawnmower Permanent Magnet Synchronous Motor Based on Extended Kalman Filter

Shan,

Wang,

et al. 2024

Energies

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In this paper, we describe a position sensorless vector control system for a permanent magnet synchronous motor (PMSM) for a lawnmower in order to solve the problems of inferior dynamic performance and insufficient load resistance in the control process of lawnmower motors. A speed–current double-closed-loop vector control strategy was adopted to control the motor speed; an extended Kalman filter (EKF) was constructed to track the motor rotor position. STM32F407 was selected as the main control chip to establish the hardware experimental platform, and the performance of the control system was evaluated. The experimental results demonstrate that the control system accurately regulates motor speed, has good dynamic response characteristics, and can maintain stability under various loads; therefore, it meets the performance requirements of lawnmower motors in practical operation.

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Section: Introductionmentioning

confidence: 99%