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Advanced Motion Control–Electric Drives

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "E: Electric Vehicles".

Deadline for manuscript submissions: closed (19 July 2024) | Viewed by 2984

Special Issue Editor


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Guest Editor
Institute of Automatic Control, Lodz University of Technology, Lodz, Poland
Interests: theory of robust and adaptive control; artificial intelligence methods for modeling, control, and smart computing; applications of these methods, mostly in mechanical and electrical engineering; electric drive controllers

Special Issue Information

Dear Colleagues,

Motion control is important wherever any machine parts are to move in a controlled way. The range of applications covers all branches of technology, from bio- and nanotechnology to transport systems, robotics, and CNC machining, to huge mining machines and space applications. Precise, fast, and constrained motion control determines the technical success of the operation of devices and the safety of people. Electric drives are found in all branches of industry, transportation, robotics, motion control, medical devices, household appliances, etc. About 8 billion electric motors are used in the EU, consuming nearly 50% of the electric energy that the EU produces. Therefore, the electric drive remains at the center of interest for researchers, but motion systems with pneumatic, hydraulic, or using the combustion of hydrogen and hydrocarbon actuators are also still important in numerous applications. The problem of motion control is also a constant issue for the development of advanced methods of control theory.

This Special Issue aims to provide an opportunity for researchers to present their recent work on advances in the field of motion control systems, mainly with electric drive, not excluding other sources of propulsion. We welcome any articles dealing with the following: new design methods of motion controllers, hardware and software for motion control, and reporting successful applications and theoretical achievements, primarily (though not exclusively) in the following areas of research:

  • Adaptive, nonlinear, robust, and optimal motion control;
  • Artificial intelligence in motion control;
  • Observers and fault-tolerant motion control;
  • Motion control in presence of state-space and input constraints;
  • Motion control in presence of saturation, friction, backlash, and delays;
  • Electric drive automation and power converters;
  • Actuators and sensors in motion control;
  • Motion control in mechatronics, robotics, and transportation;
  • Haptic devices and motion control systems with human-in-the-loop;
  • Any topics involving motion dynamics and control.

Prof. Dr. Jacek Kabziński
Guest Editor

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Keywords

  • motion control
  • linear and rotational motion
  • control theory
  • ai for motion control
  • electric drive automation
  • power electronics for electric drives
  • pneumatic, hydraulic, and combustion-based drives
  • motion sensors and actuators
  • diagnostics and condition monitoring in motion systems

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Published Papers (2 papers)

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Research

19 pages, 792 KiB  
Article
Numerical Analysis of Optimal Hybridization in Parallel Hybrid Electric Powertrains for Tracked Vehicles
by Stefan Milićević, Ivan Blagojević, Saša Milojević, Milan Bukvić and Blaža Stojanović
Energies 2024, 17(14), 3531; https://doi.org/10.3390/en17143531 - 18 Jul 2024
Cited by 8 | Viewed by 1137
Abstract
Tracked vehicles are integral for maneuvering diverse terrains, with hybrid propulsion systems offering potential benefits in terms of fuel efficiency and performance. However, research in hybrid electric tracked vehicles remains limited, thus necessitating a comprehensive analysis to maximize their advantages. This study presents [...] Read more.
Tracked vehicles are integral for maneuvering diverse terrains, with hybrid propulsion systems offering potential benefits in terms of fuel efficiency and performance. However, research in hybrid electric tracked vehicles remains limited, thus necessitating a comprehensive analysis to maximize their advantages. This study presents a numerical analysis focusing on optimizing hybridization in speed-coupled parallel hybrid electric powertrains for tracked vehicles. A dynamic programming algorithm and custom drive cycle are utilized to determine optimal hybridization factors and assess parameter sensitivities. The study reveals that a hybridization factor of 0.48 is optimal for speed-coupled parallel configurations. Furthermore, the sensitivity analysis underscores the substantial impact of factors such as the engine displacement and bore-to-stroke ratio on the fuel economy, with a 10% change in these parameters potentially influencing the fuel economy by up to 2%, thus emphasizing the importance of thorough consideration during powertrain sizing. Parallel hybrid configurations exhibit considerable potential for tracked vehicles, thus highlighting the viability of choosing them over series configurations. Full article
(This article belongs to the Special Issue Advanced Motion Control–Electric Drives)
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28 pages, 8712 KiB  
Article
Adaptive Position Control for Two-Mass Drives with Nonlinear Flexible Joints
by Marcin Jastrzębski, Jacek Kabziński and Przemysław Mosiołek
Energies 2024, 17(2), 425; https://doi.org/10.3390/en17020425 - 15 Jan 2024
Cited by 3 | Viewed by 1392
Abstract
We consider a two-mass drive with a flexible joint with a nonlinear characteristic of the transmitted torque as a function of the torsion angle. We propose a new, nonlinear, adaptive position-tracking controller, taking this nonlinearity of stiffness into account. The derivation of the [...] Read more.
We consider a two-mass drive with a flexible joint with a nonlinear characteristic of the transmitted torque as a function of the torsion angle. We propose a new, nonlinear, adaptive position-tracking controller, taking this nonlinearity of stiffness into account. The derivation of the controller is based on nonlinear adaptive control theory, incorporates several non-standard mathematical techniques and provides a proof of the uniform ultimate boundedness of tracking errors. As the result, we present a controller that solves the position tracking problem, attenuates dangerous tortional oscillations in the shaft and operates correctly in the presence of unknown torques acting on both sides of the joint, even if all plant parameters are unknown. We demonstrate experimentally that using some materials indeed introduces a nonlinear characteristic of the joint. We prove via real plant experiments that the proposed control algorithm is easily implementable with a DSP controller in real-world applications. Full article
(This article belongs to the Special Issue Advanced Motion Control–Electric Drives)
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