How do i model liquid sloshing for a drone payload?
Best insight from top research papers
To model liquid sloshing for a drone payload, there are several methods available. One approach is to use a special liquid tank that includes a piston spacer hood to reduce liquid sloshing. This tank allows the liquid to move within a range of 2mm, minimizing sloshing effects . Another method is to employ a liquid sloshing model reference adaptive inhibition motion control method. This method constructs an equivalent mechanical model of liquid sloshing and establishes a reference model for optimal control. By designing a reference adaptive control law, liquid sloshing can be inhibited while ensuring rapid response . Additionally, sloshing equations can be established to study the dynamic behaviors of the system. By analyzing the relationship between nonlinear parameters and liquid depth, the global dynamics of the system can be understood . These methods provide different approaches to model and control liquid sloshing in drone payloads.
Answers from top 5 papers
More filters
| Papers (5) | Insight |
|---|---|
Open access 01 Jan 2012 1 Citations | The provided paper does not specifically mention modeling liquid sloshing for a drone payload. |
| The provided paper does not provide information on how to model liquid sloshing for a drone payload. The paper is about a liquid sloshing damper, not specifically related to drone payloads. | |
| The provided paper does not provide information on how to model liquid sloshing for a drone payload. The paper is about a special liquid tank for an unmanned aerial vehicle. | |
Open access•Journal Article 1 Citations | The paper does not provide specific information on how to model liquid sloshing for a drone payload. |
| The provided paper does not specifically mention how to model liquid sloshing for a drone payload. |
Related Questions
What factors influence the design and development of drones for liquid fertilizer spray and solid seed sprinkle?5 answersThe design and development of drones for liquid fertilizer spray and solid seed sprinkle are influenced by various factors. Factors affecting liquid fertilizer spray drones include flight height, speed, and their interaction, which impact particle movement and deposition efficiency. Additionally, the downwash wind field plays a crucial role in droplet deposition distribution during aerial spraying, with flight height affecting wind field characteristics and droplet deposition uniformity. For solid seed sprinkle drones, electrostatic spray technology enhances droplet deposition efficiency, with charging voltage, droplet falling distance, and airflow velocity being key factors influencing droplet settlement and trajectory. These factors are essential considerations in optimizing drone design and operation for efficient and effective liquid fertilizer spray and solid seed sprinkle applications in agriculture.
What are the design requirements for a VTOL UAV with a weight of around 4kg?5 answersThe design requirements for a Vertical Takeoff and Landing (VTOL) Unmanned Aerial Vehicle (UAV) with a weight of around 4kg include the ability to operate at speeds of 14 m/s and an altitude of 120 m above ground level during the cruise phase. Additionally, the UAV should have a payload carrying capacity of 2kg – 4kg, a range of 90 km with a 2kg payload, a stall speed of 11.8m/s without payload, 13.8m/s with a 2kg payload, and an endurance of 1.52 hours with a 2kg payload. Furthermore, the aerodynamic design should be optimized for maximum lift-drag ratio, and the powertrain system should reach high efficiency in both hover and cruise modes. The transition mechanism for switching between vertical and horizontal flight phases should be robust and capable of altering thrust vectors effectively.
How to calculate weight using drone?4 answersThe weight of a drone can be calculated using different methods and systems. One method involves using pressure sensors placed on the foot stands of the drone to directly measure the weight of the whole machine. Another method utilizes a pressure sensor placed on a tripod that carries the drone, with the pressure signal being processed to acquire the total weight value of the drone. Additionally, a system can be implemented where the weight distribution within the drone's payload frame is calculated based on the relative location, weight, and volume of the payload modules. Furthermore, a study has been conducted to determine weight thresholds for drone operations based on the impact of drones on human heads of different weights. An unmanned aerial vehicle weight gravity center measuring device has also been invented, which includes a sensor system for measuring the weight of the drone.
What ml model in drone?5 answersConvolutional neural network (CNN) models are commonly used in drone-related research. These models have shown high performance in tasks such as drone recognition, crowd counting, and drone model identification. In the context of drone-assisted systems, a deep neural network model based on the derivative of the ResNet conception model has been proposed for smart crowd counting. Another study focuses on using a CNN to identify drone models in real-life video streams, achieving high accuracy and precision. Additionally, an artificial neural network (ANN) based multi-layer perceptron (MLP) model has been used to estimate the reliability of drones' communication in flying ad-hoc networks (FANETs). Overall, CNN models, along with other ML models like MLP, have proven to be effective in various drone-related applications.
How to simulate sewage sludge?5 answersSewage sludge can be simulated using various models and devices. One approach is to develop a comprehensive model that incorporates anaerobic fermentation and simulates multiple biochemical processes in a gravity sewer. Another method involves simplifying existing models, such as the Activated Sludge Model No.1 (ASM1), by considering only the carbon oxidization process and the COD component. Additionally, a sewage sludge treatment system can be used to improve the quality of sewage treatment and achieve ecological system regression. Furthermore, a sludge sewage separator can effectively separate muddy water from discharged sewage, improving the sewage treatment rate and reducing pollution. These models and devices provide tools for simulating and predicting outcomes in response to variations in wastewater quality, as well as improving the efficiency and effectiveness of sewage treatment processes.
What tools are needed to create a UAV simulation?5 answersTo create a UAV simulation, several tools are needed. One key aspect is the integration of XFOIL and AVL for automated aerodynamic analyses. Additionally, simulators, emulators, and frameworks are used to evaluate the performance and viability of UAV-based systems. These tools help assess the UAVs' performances, impacts of applications, routing protocols, mobility, and other features in a network. Researchers and software engineers have developed several simulators and co-simulators dedicated to the performance evaluations of UAV-based systems. These tools are useful for both mono-UAV-based systems and multi-UAV-based systems. Furthermore, a nearly photo-realistic, Hardware in the Loop (HITL) enabled and accurate simulation tool integrated with a popular autopilot board is advantageous. This integration allows for a photo-realistic and accurate dynamic simulation for drones, making the progress from simulation flight to real flight experiments easier and faster.