Project Details
Description
Most intelligent services mainly use sensors to detect the current states of the devices and the environment, and make reasonable decisions or instructions based on the current situation. However, the rapid development of technology has made the devices more complex and diverse. This complexity and diversity make them difficult to accurately monitor and manage the data. In order to solve this problem, this report takes the quadrotor in the automatic delivery system as an example to develop a physical quadrotor and its quasi digital twin system. By building the quasi digital twin system of the physical quadrotor, the parameters of the control system are optimized and the efficiency of the system is improved. The quasi digital twin system developed in this report has a dynamic system controller and an observer (Observer). The dynamic system controller can be used to simulate the delivery behavior, and the observer can also be used to predict possible failures.
Status | Finished |
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Effective start/end date | 2019/08/01 → 2020/10/31 |
Keywords
- Prediction
- control
- quasi digital twin
- quadrotor
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