What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Voltage
- Transformer
Control theory, Automotive engineering, Rotor, Induction motor and Fault tolerance are his primary areas of study.
His studies in Control theory integrate themes in fields like Wind power, Electrical engineering, Crowbar, AC power and Electronic engineering.
David J. Atkinson works mostly in the field of Electronic engineering, limiting it down to topics relating to Maximum power point tracking and, in certain cases, Voltage reference and Duty cycle, as a part of the same area of interest.
His Automotive engineering research incorporates themes from Control engineering, Fault and Electric motor.
In his work, Wound rotor motor and Electronic speed control is strongly intertwined with Stator, which is a subfield of Rotor.
His biological study spans a wide range of topics, including Redundancy and Aerospace.
His most cited work include:
- Overview of Electric Motor Technologies Used for More Electric Aircraft (MEA) (500 citations)
- Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications (469 citations)
- Assessment of the Incremental Conductance Maximum Power Point Tracking Algorithm (291 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Control theory, Electrical engineering, Electronic engineering, Control engineering and Induction motor.
His Control theory research integrates issues from Maximum power point tracking, Vector control, Photovoltaic system and Rotor.
He usually deals with Maximum power point tracking and limits it to topics linked to Duty cycle and Voltage reference.
David J. Atkinson has included themes like Fault, Wind power and Stator in his Rotor study.
His Electronic engineering research is multidisciplinary, incorporating perspectives in Converters, Grid-tie inverter, Inductor, Pulse-width modulation and Inverter.
David J. Atkinson combines subjects such as Control system, Power control, Fault tolerance, Power electronics and Actuator with his study of Control engineering.
He most often published in these fields:
- Control theory (45.90%)
- Electrical engineering (20.49%)
- Electronic engineering (20.49%)
What were the highlights of his more recent work (between 2013-2021)?
- Control theory (45.90%)
- Voltage (14.75%)
- Electronic engineering (20.49%)
In recent papers he was focusing on the following fields of study:
David J. Atkinson spends much of his time researching Control theory, Voltage, Electronic engineering, Converters and Capacitor.
His Control theory research includes themes of Induction motor and Inverter.
As part of his studies on Induction motor, he frequently links adjacent subjects like Control engineering.
As part of one scientific family, David J. Atkinson deals mainly with the area of Voltage, narrowing it down to issues related to the Generator, and often Turbine, Fault, Induction generator and Electrical reactance.
The Electronic engineering study combines topics in areas such as Transformer, Duty cycle, Maximum power point tracking, Mppt algorithm and Photovoltaic system.
His work deals with themes such as Pulse-width modulation and Control, which intersect with Converters.
Between 2013 and 2021, his most popular works were:
- Operating Characteristics of the P&O Algorithm at High Perturbation Frequencies for Standalone PV Systems (91 citations)
- Model Predictive MRAS Estimator for Sensorless Induction Motor Drives (80 citations)
- Experimental investigation of the incremental conductance maximum power point tracking algorithm at high perturbation rates (69 citations)
In his most recent research, the most cited papers focused on:
- Electrical engineering
- Voltage
- Mechanical engineering
His main research concerns Control theory, Cold ironing, Marine engineering, MRAS and Induction motor.
His work in the fields of Control theory, such as Control theory, intersects with other areas such as Perturbation.
His Control theory research also works with subjects such as
- Inductance, Kalman filter, Capacitor and Voltage sensor most often made with reference to Converters,
- Electric vehicle, Sensitivity, Dynamometer, Torque and Electronic engineering most often made with reference to Inverter.
His study in Marine engineering is interdisciplinary in nature, drawing from both Waste management, Energy supply and Electric power transmission.
His work in MRAS addresses subjects such as Adaptive system, which are connected to disciplines such as Stator, Rotor, Synchronous motor, Slip and Model predictive control.
His Vector control study combines topics from a wide range of disciplines, such as Control engineering, Robustness and Motor control.
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