Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3
Smart Wires and Modular FACTS Controllers for Smart Grid Applications: A Review
Volume-3 | Issue-4
Integrated Renewable Energy Management System for Reduced Hydrogen Consumption using Fuel Cell
Volume-3 | Issue-1
Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3
Artificial Intelligence based Business Process Automation for Enhanced Knowledge Management
Volume-3 | Issue-2
Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2
Design of Effective Smart Communication System for Impaired People
Volume-2 | Issue-4
Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3
Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2
A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4
Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4
Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3
Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4
Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3
Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2
Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2
Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3
Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2
A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4
Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2
Volume - 4 | Issue - 3 | september 2022
Published
12 September, 2022
Nowadays anyone can fly Unmanned Aerial Vehicle (UAV) and land it according to the specified instructions drafted by the manufacturer. However, the controlling phase is growing day by day as one of the crucial roles of UAV. Obtaining control for autonomous landing is the crucial and critical step. So based on various literature surveys and centering into Industry 4.0, this proposed work deals with image flight simulation and control of Quadrotor, which is an important field of Industry 4.0 in future production and business power. This research is eyed on Quadrotor, a type of flying vehicle with four rotor blades wherein the opposite pairs rotate in alternate direction, which is very useful for vertical take-off and landing. The Quadrotor is created by using CATIA software which is best suited for modelling and developing real time application. The model is extracted in MATLAB/SIMULINK in which a variety of blocks are available under the set of control and aerospace blocks. Then, a suitable simulation environment and controller are made. The advantage of making this proposed work in MATLAB is that it has the features of testing, controlling, and maintaining various operations without equipping any mechanical components, and there is no risk for property or lives.
KeywordsQuad Quadrotor Control Model MATLAB SIMULINK
Full Article PDF Download Article PDF