scholarly journals QUADROTORS IN THE PRESENT ERA: A REVIEW

2021 ◽  
Vol 9 (1) ◽  
pp. 164-178
Author(s):  
Ritika Thusoo, Sheilza Jain, Sakshi Bangia
Keyword(s):  
Precision Agriculture ◽  
Real Life ◽  
Control Engineering ◽  
Modeling And Control ◽  
Control Techniques ◽  
Force Moment ◽  
Altitude Control ◽  
And Control ◽  
Model Reference Adaptive ◽  
Rotor Type

The advancement in the field of aerial robotics and control engineering has created many opportunities for the utilization of Unmanned Aerial Vehicles (UAVs).  Applications of UAVs from precision agriculture to delivering medicines and products at our doorsteps cannot be ignored. Quadrotors are the widely studied as sub-category of the rotor-type UAVs. Their ability to hover, vertical take-off and landing along with their small size and simple design make them suitable for many real-life applications like medicine delivery in containment zones struck with COVID-19. But under actuation caused due to four rotors to control six inputs creates instability in their flight. In this paper, Quadrotors and various Quadrotor applications are discussed. The various modeling and control techniques are discussed. Controlling techniques like LQR, LQG, PID and robust control is implemented for position, attitude and altitude control. Results for Proportional Integral and Derivative (PID) and Model Reference Adaptive Control (MRAC) of model generated using force-moment mathematical model are analyzed and compared using MATLAB Simulink. These control techniques are implemented for position, attitude and altitude control. In this paper, it has been concluded that MRAC performs better as compared to PID controller for position, attitude and Altitude control of Quadrotor.

scholarly journals Modeling and Simulation of Energy Management Hybrid Sources System composed of Solar-PV and Battery

2016 ◽  
Vol 1 (1) ◽  
pp. 12
Author(s):  
Madiha Maamir ◽  
Achour Betka ◽  
Hania Aboub
Keyword(s):  
Energy Management ◽  
Solar Pv ◽  
Modeling And Control ◽  
Control Techniques ◽  
Simulation Results ◽  
Power Manager ◽  
And Control ◽  
Different Sources ◽  
Pv Generator ◽  
Auxiliary Source

This paper describes the  modeling and control of a hybrid source consisting of PV generator (as  main  source)  along  with  a  battery (as  an  auxiliary source)  and a dc-load are connected through power converters and a dc-link. The main objective of this paper is to design a power manager to control effectively the power of the different sources. To test the effectiveness of the different control techniques involved, simulation results are plotted and commented.

Modeling and Control Techniques for Microstructure Development

2014 ◽  
Vol 541-542 ◽  
pp. 317-323
Author(s):  
R. Karthikeyan ◽  
R.K. Ganesh Ram ◽  
V. Kalaichelvi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
True Stress ◽  
Microstructure Development ◽  
Modeling And Control ◽  
Control Techniques ◽  
Hot Compression Test ◽  
Strain Data ◽  
Sic Composites ◽  
And Control

True stress-strain data is obtained for 6061Al/ 10% SiC composites by hot compression test. Mathematical models for % volume of recrystallization and diameter of the recrystallized grains are developed with process parameters such as strain, strain rate and temperature. These models are applied for optimization of the grain size and % volume of recrystallization. An attempt has been made to control microstructure evolution during hot deformation using fuzzy logic controller through simulation in MATLAB software. The fuzzy logic controller parameters are tuned using genetic algorithm.

scholarly journals An Experimental Approach towards Motion Modeling and Control of a Vehicle Transiting a Non-Newtonian Environment

2021 ◽  
Vol 5 (3) ◽  
pp. 104
Author(s):  
Isabela Birs ◽  
Cristina Muresan ◽  
Ovidiu Prodan ◽  
Silviu Folea ◽  
Clara Ionescu
Keyword(s):  
Fractional Order ◽  
Process Model ◽  
Real Life ◽  
Optimization Techniques ◽  
Motion Modeling ◽  
Modeling And Control ◽  
Control Approach ◽  
Real Life Data ◽  
And Control ◽  
The Mathematical Model

The present work tackles the modeling of the motion dynamics of an object submerged in a non-Newtonian environment. The mathematical model is developed starting from already known Newtonian interactions between the submersible and the fluid. The obtained model is therefore altered through optimization techniques to describe non-Newtonian interactions on the motion of the vehicle by using real-life data regarding non-Newtonian influences on submerged thrusting. For the obtained non-Newtonian fractional order process model, a fractional order control approach is employed to sway the submerged object’s position inside the viscoelastic environment. The presented modeling and control methodologies are solidified by real-life experimental data used to validate the veracity of the presented concepts. The robustness of the control strategy is experimentally validated on both Newtonian and non-Newtonian environments.

Modeling and Control of Manufacturing Processes: Getting More Involved

1993 ◽  
Vol 115 (2B) ◽  
pp. 291-300 ◽  
Author(s):  
David E. Hardt
Keyword(s):  
Position Control ◽  
Transformation Process ◽  
Actual Process ◽  
Modeling And Control ◽  
Control Techniques ◽  
Specific Geometry ◽  
Process Output ◽  
Internal Properties ◽  
And Control

The discipline of control has had numerous yet sporadic contacts with the manufacturing world over the past few decades, almost always as an afterthought or addendum, and typically in the role of machine and not as process control. Much of this detachment comes from an absence of control techniques that can deal directly with the actual manufacturing process, i.e., a material transformation process that produces a desired object both in terms of specific geometry and internal properties. Instead, most efforts have focused on using existing methods on process independent problems, such as position control and trajectory following, or on straightforward process parameter control, thereby only indirectly influencing the actual process output. This paper presents the reasons behind and the means to eliminate this estrangement, using the author’s own research as an example of a more direct approach to process modeling and control.

scholarly journals A Review of Recent Advances in Fractional-Order Sensing and Filtering Techniques

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5920
Author(s):  
Cristina I. Muresan ◽  
Isabela R. Birs ◽  
Eva H. Dulf ◽  
Dana Copot ◽  
Liviu Miclea
Keyword(s):  
Fractional Calculus ◽  
Fractional Order ◽  
Chemical Engineering ◽  
Real Life ◽  
Control Engineering ◽  
Design Flexibility ◽  
Raising Awareness ◽  
And Control ◽  
Detailed Presentation ◽  
Filtering Techniques

The present manuscript aims at raising awareness of the endless possibilities of fractional calculus applied not only to system identification and control engineering, but also into sensing and filtering domains. The creation of the fractance device has enabled the physical realization of a new array of sensors capable of gathering more information. The same fractional-order electronic component has led to the possibility of exploring analog filtering techniques from a practical perspective, enlarging the horizon to a wider frequency range, with increased robustness to component variation, stability and noise reduction. Furthermore, fractional-order digital filters have developed to provide an alternative solution to higher-order integer-order filters, with increased design flexibility and better performance. The present study is a comprehensive review of the latest advances in fractional-order sensors and filters, with a focus on design methodologies and their real-life applicability reported in the last decade. The potential enhancements brought by the use of fractional calculus have been exploited as well in sensing and filtering techniques. Several extensions of the classical sensing and filtering methods have been proposed to date. The basics of fractional-order filters are reviewed, with a focus on the popular fractional-order Kalman filter, as well as those related to sensing. A detailed presentation of fractional-order filters is included in applications such as data transmission and networking, electrical and chemical engineering, biomedicine and various industrial fields.

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