Shaltout, M. L., and H. A. Hegazi, "Multi-objective design optimization of hydrodynamic journal bearings using a hybrid approach", Industrial Lubrication and Tribology, vol. In Press, 2021. Website
Shaltout, M. L., M. A. Mostafa, and S. M. Metwalli, "Enhancement of Wind Energy Resources Assessment using Multi-Objective Genetic Algorithm: A Case Study at Gabal Al-Zayt Wind Farm in Egypt", International Journal of Green Energy, 2021. Website
Shaltout, M. L., A. S. Dimitri, E. H. Maslen, and A. El-Shafei, "Control of a Smart Electro-Magnetic Actuator Journal Integrated Bearing to a Common Equilibrium Position: A Simulation Study", Mechanical Systems and Signal Processing, vol. 154, 2021. Website
Ibrahim, M. E., M. L. Shaltout, and S. A. Kassem, "Extremum Seeking Control for Energy Harvesting Enhancement of Wind Turbines with Hydromechanical Drivetrains", Wind Energy, vol. 23, issue 11, pp. 2113-2135, 2020. Website
Shaltout, M. L., Design of High Performance Feed Drive Systems for Machine Tools, , Giza, Cairo University, 2009. Abstractmsc_thesis.pdf

Through the last few decades, the motivation of machine tool development has been driven by the need for higher performance. This implies the improvement of the machine tool subsystems in order to attain the utmost accuracy and productivity. As one of the main machine tool subsystems, the feed drive system design and development has a profound effect on the overall performance of machine tools. A conventional feed drive system is composed of a servomotor, a gear set, a ball screw and a sliding mass. High performance of the machine tool means the capability of the machine tool slide to execute high accelerations and decelerations required for contouring operations. It has been verified that the variation of the ball-screw pitch and the gear reduction ratio has a profound effect on the machine tool slide acceleration. In addition there are some designs of hydraulic servomotors and other feed drive configurations that could be promising for machine tool applications.

Shaltout, M. L., M. M. Alhneaish, and S. M. Metwalli, "An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation", ASME Journal of Dynamic Systems, Measurement, and Control, vol. 142, issue 6, 2020. AbstractWebsite

Wind power intermittency represents one of the major challenges facing the future growth of grid-connected wind energy projects. The integration of wind turbines and energy storage systems (ESS) provides a viable approach to mitigate the unfavorable impact on grid stability and power quality. In this study, an economic model predictive control (MPC) framework is presented for an integrated wind turbine and flywheel energy storage system (FESS). The control objective is to smooth wind power output and mitigate tower fatigue load. The optimal control problem within the model predictive control framework has been formulated as a convex optimal control problem with linear dynamics and convex constraints that can be solved globally. The performance of the proposed control algorithm is compared to that of a baseline wind turbine controller. The effect of the proposed control actions on the fatigue loads acting on the tower and blades is investigated. The simulation results, with various wind scenarios, showed the ability of the proposed control algorithm to achieve the aforementioned objectives in terms of smoothing output power and mitigating tower fatigue load with negligible effect on the wind energy harvested.

Alhneaish, M. M., M. L. Shaltout, and S. M. Metwalli, "An Economic Model Predictive Control Approach for Wind Power Smoothing and Tower Load Mitigation", Proceedings of the ASME 2018 Dynamic Systems and Control Conference, Atlanta, GA, USA, 2018.
Shaltout, M. L., Z. Ma, and D. Chen, "An Adaptive Economic Model Predictive Control Approach for Wind Turbines", ASME Journal of Dynamic Systems, Measurement and Control, vol. 140, issue 5, pp. 051007-051007-10, 2018. Website
Hall, J. F., D. Palejiya, M. L. Shaltout, and D. Chen, "An Integrated Control and Design Framework of Optimizing Time-horizon Energy Capture and Component Life for a Wind Turbine Variable Ratio Gearbox", ASME Journal of Solar Energy Engineering, vol. 137, issue 2, 2015. Website
Shaltout, M., J. Hall, and D. Chen, "Optimal Control of a Wind Turbine with a Variable Ratio Gearbox for Maximum Energy Capture and Prolonged Gear Life", ASME Journal of Solar Energy Engineering, vol. 136, issue 3, pp. 031007-1-7, 2014. AbstractWebsite

An optimal control approach for a wind turbine drivetrain with a variable ratio gearbox is presented. The objective is to find the optimum shifting sequence of the variable ratio gearbox in order to maximize power generation and extend gear life. The employment of a variable ratio gearbox enhances the capabilities of the wind turbine to cope with wind speed variations. Based on the authors' preliminary study, the gear ratios of the variable ratio gearbox were carefully selected to maximize the wind energy capture. In this paper, a new control approach is proposed to achieve both extended gear service life and optimal energy harvesting. This new approach finds the gear shifting sequence that will minimize the tangential force on the gear tooth while maximizing the wind energy capture. The wind turbine drivetrain with a variable ratio gearbox is modeled and simulation results based on recorded wind data of different wind classes are presented and compared.

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