Research output per year
Research output per year
Personal profile
Google Scholar h-Index
3 Last checked 25 June 2020
Biography
Dr Hamid Alturbeh joint University of Huddersfield in February 2016 as a research\industrial fellow at Institute of Railway Research.
Dr Alturbeh has a multidisciplinary academic background with a PhD degree in aerospace engineering from Cranfield University and two master degrees; a Master by Research focused on directional drilling control systems from Cranfield University, and a Master of Science with distinction in automation and control from Newcastle University, and BEng (Hons) in Electrical and Electronic Engineering.
Dr Hamid is expert in modelling, simulation, and control of aerodynamic, mechanical, electrical, and electromechanical systems using different software packages
Currently, he is conducting research projects for the Rail Safety and Standards Board (RSSB) as part of a Strategic Partnership with the University of Huddersfield. This includes projects related to modelling, simulation, and control of train braking/traction systems at very low adhesion conditions, wheel-rail contact model, and train speed estimation.
Dr Hamid is skilled in advanced control systems design, states estimation and parameters identification techniques, optimal control, model predictive control, fuzzy logic control, trajectory planning for autonomous systems, electric drives, and traction and braking control at low adhesion conditions. Expert in MATLAB/Simulink, State flow, and Simscape's packages (multibody, Electrical, Mechanical, ...etc.). And he has a good knowledge in C++, Visual Basic, Solidworks.
In addition to his academic experience, Dr Hamid has an industrial experience as he has worked for two years as a field engineer in oil and gas industry specialist in gas turbine and instrumentation.
Research Expertise and Interests
- Modelling and simulation of train braking/traction systems at low adhesion conditions.
- Modelling, Control, and Simulation of Unmand Aerial Vehicles (UAVs).
- Collision avoidance and trajectory planning for autonomous vehicles.
- Optimal control systems design.
- Model predictive Control (MPC),
- Non-linear control systems,
- Modelling, simulation, and control of AC and DC electric drives.
- State estimation and parameter identification.
- Fuzzy Logic (FL) and Neural Networks (NN) techniques.
Research Degree Supervision
Click Here to see all postgraduate research opportunities with Dr Hamid Alturbeh
Research Expertise and Interests
- Advanced Control Systems
- Train braking/traction system
- Modelling and Simulation
Fingerprint
Dive into the research topics where Hamid Alturbeh is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 6 Similar Profiles
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Research output
-
Improved Modelling of Trains Braking Under Low Adhesion Conditions
Alturbeh, H., Lewis, R., Six, K., Trummer, G. & Stow, J., 2 Jul 2020, In: Tribology - Materials, Surfaces and Interfaces. 14, 3, p. 131-141 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Modelling and simulation of the train brake system in low adhesion conditions
Alturbeh, H., Stow, J., Tucker, G. & Lawton, A., 1 Mar 2020, In: Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 234, 3, p. 301-320 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus) -
Visual Flight Rules-Based Collision Avoidance Systems for UAV Flying in Civil Aerospace
Alturbeh, H. & Whidborne, J. F., 1 Mar 2020, In: Robotics. 9, 1, 35 p., 9.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
Modelling and control of the roll-stabilised control unit of a rotary steerable system directional drilling tool
Alturbeh, H., Whidborne, J. F., Luk, P. & Bayliss, M., 1 Jun 2019, In: Journal of Engineering. 2019, 17, p. 4555-4559 5 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Implementation of the water induced low adhesion creep force model (wilac) into the low adhesion braking dynamic optimisation for rolling stock model (Labrador)
Alturbeh, H., Lewis, R., Six, K., Trummer, G. & Stow, J., 27 Sep 2018, Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/wheel Systems, CM 2018. Nunez, A. & Li, Z. (eds.). TU Delft, p. 37-43 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review