An Improved Adaptive Sliding Mode Observer for Middle- and High-Speed Rotor Tracking

Xu, Wenjun; Qu, Shaocheng; Zhao, Liang; Zhang, Hongrui

doi:10.1109/tpel.2020.3000785

Cited by 104 publications

(33 citation statements)

References 30 publications

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“…e algorithm uses gradient descent optimization in XY plane and grid search along zaxis to calculate UAV waypoints. To improve the tracking performance, the tracking error covariance matrix is minimized [4]. UAV relay technology is an important means to realize remote wireless communication.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Wang

Liu

2021

Mathematical Problems in Engineering

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China is a country with frequent earthquake disasters. After the occurrence of earthquake disasters, the key to disaster monitoring and rescue is to quickly obtain images of postdisaster areas. Unmanned aerial vehicle (UAV) path planning is the core of multi-UAV cooperative control. With the increasing popularity of UAVs, people with more complex living environments contact with UAVs more frequently, which also poses a challenge to the overall control of UAVs, making single UAV and even multi-UAV cooperative path planning become a hot research issue in recent years. The complexity of communication between aircraft in three-dimensional flight space and multidegree of freedom navigation makes multi-UAV cooperation more challenging. According to the research results at home and abroad, this paper takes multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm as research methods. Based on virtual reality technology, by comparing the advantages and disadvantages of several algorithms, the research model of path optimization is established, and a multitarget detection method based on virtual reality technology is established. Through the analysis and improvement of multitarget tracking algorithm, ant colony algorithm, and hybrid particle swarm optimization algorithm, the path optimization problem of UAV after an earthquake based on virtual reality technology is studied. The results show that, compared with the previous research models, the overall optimization efficiency of UAV route is improved by 15%, which is more practical.

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Section: Introductionmentioning

confidence: 99%

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Wang

Liu

2021

Mathematical Problems in Engineering

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“…In many areas, the process starts with the modeling and design of objective functions for searching for feasible solutions, which cannot necessarily be an optimal value [182], [184]- [186]. One of the most challenging characteristics in solving the real-world problem is the multi-objective fitness function.…”

Section: Multi-objective Csamentioning

confidence: 99%

Crow Search Algorithm: Theory, Recent Advances, and Applications

et al. 2020

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In this paper, a comprehensive overview of the Crow Search Algorithm (CSA) is introduced with detailed discussions, which is intended to keep researchers interested in swarm intelligence algorithms and optimization problems. CSA is a new swarm intelligence algorithm recently developed, which simulates crow behavior in storing excess food and retrieving it when needed. In the optimization theory, the crow is the searcher, the surrounding environment is the search space, and randomly storing the location of food is a feasible solution. Among all food locations, the location where the most food is stored is considered to be the global optimal solution, and the objective function is the amount of food. By simulating the intelligent behavior of crows, CSA tries to find optimal solutions to various optimization problems. It has gained a considerable interest worldwide since its advantages like simple implementation, a few numbers of parameters, flexibility, etc. This survey introduces a comprehensive variant of CSA, including hybrid, modified, and multi-objective versions. Furthermore, based on the analyzed papers published in the literature by some publishers such as IEEE, Elsevier, and Springer, the comprehensive application scenarios of CSA such as power, computer science, machine learning, civil engineering have also been reviewed. Finally, the advantages and disadvantages of CSA have been discussed by conducting some comparative experiments with other similar published peers.

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“…Furthermore, the absence of the EEMF dynamics in the perturbation design leads to higher bandwidth requirements for acceptable dynamic performance, which results in noise sensitivity. The pursuit for proper EEMF tracking through the entire PMSM operating range by the disturbance method culminated in the study of sliding mode observer (SMO) strategies [38]- [44]. The sliding mode technique uses a high-frequency switching variable in order to ensure robustness to the observation process.…”

Section: ) Linear Disturbance Observermentioning

confidence: 99%

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

et al. 2021

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Rotor position and speed estimation methods are consolidated to reduce the cost and volume of permanent magnet synchronous motor (PMSM) sensorless control drives while maintaining high performance. Advanced nonlinear algorithms require accurate design for precise estimation tracking throughout the entire PMSM operation range. This paper presents a broad review of the main high-speed estimation methods for sensorless PMSM drives. First, the stability constraints and design methodologies of the main estimation techniques presented in the literature are discussed. In the second part, it is investigated the new observer design trends, which are used under non-ideal conditions, such as robustness to distortions, the effects of parameter variation, sensorless parameter estimation, and low sampling-frequency-to-speed ratio operation. Future trends on the design of observers for high-speed sensorless PMSM drives are also discussed.INDEX TERMS High performance drives, permanent magnet synchronous motors, sensorless control, state observer design.

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An Improved Adaptive Sliding Mode Observer for Middle- and High-Speed Rotor Tracking

Cited by 104 publications

References 30 publications

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Virtual Reality Technology of Multi UAVEarthquake Disaster Path Optimization

Crow Search Algorithm: Theory, Recent Advances, and Applications

Observers for High-Speed Sensorless PMSM Drives: Design Methods, Tuning Challenges and Future Trends

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