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Journal articles on the topic 'Industrial Motion Control'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Steinbuch, M., and M. L. Norg. "Advanced Motion Control: An Industrial Perspective." European Journal of Control 4, no. 4 (1998): 278–93. http://dx.doi.org/10.1016/s0947-3580(98)70121-9.

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2

Jahns, T. M. "Designing intelligent muscle into industrial motion control." IEEE Transactions on Industrial Electronics 37, no. 5 (1990): 329–41. http://dx.doi.org/10.1109/41.103427.

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3

Steinbuch, Maarten, and René van de Molengraft. "Iterative Learning Control of Industrial Motion Systems." IFAC Proceedings Volumes 33, no. 26 (2000): 899–904. http://dx.doi.org/10.1016/s1474-6670(17)39259-5.

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4

Week, M., and G. Ye. "Smooth Motion Control of Automated Industrial Processes." IFAC Proceedings Volumes 20, no. 5 (1987): 175–80. http://dx.doi.org/10.1016/s1474-6670(17)55314-8.

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5

Omatu, Shigeru. "Intelligent Motion Control. II. Present Technologies on Motion Control." IEEJ Transactions on Industry Applications 116, no. 8 (1996): 812–15. http://dx.doi.org/10.1541/ieejias.116.812.

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6

Fujimoto, Yasutaka, Toshiyuki Murakami, and Roberto Oboe. "Advanced Motion Control for Next-Generation Industrial Applications." IEEE Transactions on Industrial Electronics 63, no. 3 (2016): 1886–88. http://dx.doi.org/10.1109/tie.2016.2515992.

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7

Ferretti, G., C. Maffezzoni, G. Magnani, and P. Rocco. "Decoupling Force and Motion Control in Industrial Robots." IFAC Proceedings Volumes 26, no. 2 (1993): 541–46. http://dx.doi.org/10.1016/s1474-6670(17)48786-6.

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8

Ferretti, G., C. Maffezzoni, G. Magnani, and P. Rocco. "Decoupling force and motion control in industrial robots." Control Engineering Practice 1, no. 6 (1993): 1019–27. http://dx.doi.org/10.1016/0967-0661(93)90012-g.

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9

Palii, O. S., E. O. Lapkhanov, and D. S. Svorobin. "Model of distributed space power system motion control." Technical mechanics 2022, no. 4 (2022): 35–50. http://dx.doi.org/10.15407/itm2022.04.035.

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The goal of this article is to develop a generalized mathematical model for controlling the motion of the spacecraft of a space industrial platform’s distributed power system. Space industrialization is one of the promising lines of industrial development in the world. The development of space industrial technologies will allow one to solve a number of problems in the production of unique products unavailable under terrestrial conditions. The main types of these products include semiconductor materials, materials made by 3D printing in microgravity, space modules of sunshade systems, space met

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10

Muhamediyeva, D. T., and M. Fozilova. "General algorithm for optimal control of moving industrial robots." E3S Web of Conferences 401 (2023): 05058. http://dx.doi.org/10.1051/e3sconf/202340105058.

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Control of robots in changing conditions is complex, and its main reason is, firstly, that the robot changes its manipulative behavior concerning the influence of the external environment, and secondly, that it does not have a clear model of motion. If the motion model is not clear, the control model will not be clear, and it will be difficult to determine the control parameters of the robot. Therefore, to overcome these shortcomings, the article presents a model of the motion of robots moving in changing conditions using mathematical methods and an algorithm for optimal control based on it.

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11

Shin, Seiichi. "Motion Control and Control Theory." IEEJ Transactions on Industry Applications 120, no. 1 (2000): 3–4. http://dx.doi.org/10.1541/ieejias.120.3.

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12

Kuo, L.-Y., and J.-Y. Yen. "A genetic algorithm-based parameter-tuning algorithm for multi-dimensional motion control of a computer numerical control machine tool." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, no. 3 (2002): 429–38. http://dx.doi.org/10.1243/0954405021519915.

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This paper addresses an automatic parameter-tuning algorithm for the multi-axis motion control of a computer numerical control (CNC) machine centre. The traditional approach to tune the control parameters in the multi-axis machines is to tune each axis independently. Some high-end-precision machines offer cross-axis motion parameters for impedance compensation but this is usually not satisfactory for practical purpose. Because each axis on the machine centre contributes to more than one working plane, obtaining the optimal performance for motions involving more than one plane often results in

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13

Eren, Recep, Fatih Suvari, and Ozge Celik. "Mathematical analysis of motion control in sectional warping machines." Textile Research Journal 88, no. 2 (2016): 133–43. http://dx.doi.org/10.1177/0040517516676059.

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Sectional warping is the most widely used warp preparation method in weaving, as it enables warping from all kind of yarns with color or type repeat. The quality of warping is directly dependent on the precision of motion control of machine mechanisms. This paper presents a mathematical analysis of motions of a sectional warping machine. Experimental work is also carried out on industrial sectional warping machines. It is shown that the results of mathematical equations derived for motions of a sectional warping machine match well with experimental results and they can be used for computer con

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14

Kuvshinnikov, Vladimir, and Evgeny Kovshov. "Improvement of specialized industrial manipulator movement control." ITM Web of Conferences 18 (2018): 01004. http://dx.doi.org/10.1051/itmconf/20181801004.

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This article deals with the specialized portal manipulator motion control. The key features of the system are analysed, management efficiency improvement task is considered and formulated. An approach to the manipulator trajectory formation is proposed, based on existing mobile and industrial robotics solutions including artificial neural networks.

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15

Lim, Li Hong Idris, and Dazhi Yang. "High-Precision XY Stage Motion Control of Industrial Microscope." IEEE Transactions on Industrial Electronics 66, no. 3 (2019): 1984–92. http://dx.doi.org/10.1109/tie.2018.2838102.

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16

Xu, Kaiwen. "Research on sensing recognition principle and motion control of industrial robot." Applied and Computational Engineering 65, no. 1 (2024): 105–11. http://dx.doi.org/10.54254/2755-2721/65/20240476.

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In recent years, with the continuous development of science and technology and the pursuit of production efficiency, robots are more and more widely used in industrial production. Robot is a new production tool in industrial production. This paper mainly studies the sensing and recognition technology of industrial robots and their motion control principle. The purpose of this paper is to discuss the main research directions and important design methods of industrial robots. The research methods used in this paper are literature analysis, case analysis, and review. The research object is the se

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17

Park, Jonghoon, and Wankyun Chung. "Design of a Robust H∞ PID Control for Industrial Manipulators." Journal of Dynamic Systems, Measurement, and Control 122, no. 4 (1999): 803–12. http://dx.doi.org/10.1115/1.1310367.

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Industrial manipulators are under various limitations against high quality motion control; for example, both frictional and dynamic disturbances should be dealt with a simple PID control structure. A robust linear PID motion controller, called the reference error feedback (REF), is proposed, which solves the nonlinear L2-gain attenuation control problem for robotic manipulators. The stability, robustness, and performance tuning of the proposed controller are analyzed. Making use of the fact that the single parameter of the induced L2-gain γ controls the performance with stability attained, we

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18

He, Ren Qing, and Gang Feng Yan. "Intuitive Control System for Industrial Robot Application Using Smartphone." Applied Mechanics and Materials 685 (October 2014): 284–88. http://dx.doi.org/10.4028/www.scientific.net/amm.685.284.

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Most of industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. In order to simplify the teaching process, an intuitive control system using smartphone is proposed. The smartphone has multiple motion and position sensors in it. When smartphone is being held in hand, the motion sensors capture posture of hand which the input of robot controller is depended on. The smartphone and robot controller communicates wirelessly through TCP/IP protocol. The system can complete typical operations of teaching process. Compared with the typical

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19

Singh, N., H. Zghal, N. Sepehri, S. Balakrishnan, and P. D. Lawrence. "Coordinated-motion control of heavy-duty industrial machines with redundancy." Robotica 13, no. 6 (1995): 623–33. http://dx.doi.org/10.1017/s0263574700018713.

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SummaryAn implementation of a real-time scheme suitable for coordinated-motion control of a class of teleoperated industrial machines with redundancy is presented. An efficient gradient projection technique is adopted for the numerical solution. The scheme utilizes the redundancy to avoid the joint limits by minimizing a hyperbolic function of the joint distances from the mid-range. This new performance criterion is shown to be advantageous over similar criteria; both the joint-limit avoidance capability and the resulting joint velocity profiles can be adjusted by the appropriate choice of par

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20

Kuo, C. Y., and Shay-Ping T. Wang. "Nonlinear Robust Industrial Robot Control." Journal of Dynamic Systems, Measurement, and Control 111, no. 1 (1989): 24–30. http://dx.doi.org/10.1115/1.3153015.

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A new nonlinear robot control scheme is proposed in this paper which is robust against modeling errors and unknown disturbance. The control input consists of a nonlinear part and a linear part. The nonlinear part decouples robot dynamics to obtain a set of equations in terms of each joint’s input and output; the linear part applies robust servomechanism theory to suppress effects of modeling error and unknown disturbance. The nonlinear part can be calculated by using recursive Newton-Euler formulas or parallel processing hardware, and the linear part by dedicated, localized microprocessors. Th

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21

Furuta, Katsuhisa, and Kazuhiro Kosuge. "Motion control of manipulators." IEEJ Transactions on Industry Applications 107, no. 1 (1987): 71–76. http://dx.doi.org/10.1541/ieejias.107.71.

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22

Ito, Koji. "Intelligent Motion Control. III. Future Technologies of Intelligent Motion Control-Emergent Systems." IEEJ Transactions on Industry Applications 116, no. 8 (1996): 816–19. http://dx.doi.org/10.1541/ieejias.116.816.

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23

Vajsz, Tibor, László Számel, and Árpád Handler. "An Investigation of Direct Torque Control and Hysteresis Current Vector Control for Motion Control Synchronous Reluctance Motor Applications." Power Electronics and Drives 4, no. 1 (2019): 115–24. http://dx.doi.org/10.2478/pead-2019-0009.

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Abstract Synchronous reluctance motor drives are one of the most attractive alternatives of permanent magnet synchronous motor drives and induction motor drives in the field of conventional industrial and household applications. This tendency is expected to be continued in the case of motion control applications as well. This article investigates two torque-control algorithms that are possible candidates for motion control synchronous reluctance motor applications. The examined torque-control algorithms are direct torque control (DTC) and hysteresis current vector control (HCVC).

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24

Li, Jiachen. "Research on Intelligent Control System for Industrial Robots Based on Deep Learning." Applied and Computational Engineering 165, no. 1 (2025): 71–78. https://doi.org/10.54254/2755-2721/2025.ld24663.

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In the contemporary landscape where industrial automation is advancing at an accelerated pace, there is an imperative need for the intelligent upgrading of industrial robots. The paper focuses on the deep learning-based intelligent control system of industrial robots, analyzing the application of deep learning core algorithms in perception, motion control, and decision-making optimization. The system architecture covers the perception, control, and decision-making layers, using deep learning algorithms to integrate and process multimodal sensory information. The system also innovates the motio

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25

Wu, Wei, Toshiki Hirogaki, and Eiichi Aoyama. "Investigation of Synchronous Accuracy of Dual Arm Motion of Industrial Robot." Key Engineering Materials 516 (June 2012): 234–39. http://dx.doi.org/10.4028/www.scientific.net/kem.516.234.

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Recently, new needs have emerged to control not only linear motion but also rotational motion in high-accuracy manufacturing fields. Many five-axis-controlled machining centres are therefore in use. However, one problem has been the difficulty of creating flexible manufacturing systems with methods based on the use of these machine tools. On the other hand, the industrial dual-arm robot has gained attention as a new way to achieve accurate linear and rotational motion in an attempt to control a working plate like a machine tool table. In the present report, a cooperating dual-arm motion is dem

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26

Baimel, Dmitry, and Saad Tapuchi. "Modern Motion Control Systems-State of the Art, Challenges and Industrial Applications." Applied Mechanics and Materials 432 (September 2013): 421–26. http://dx.doi.org/10.4028/www.scientific.net/amm.432.421.

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The paper presents a technological review of modern motion control systems. Existing solutions are discussed and analyzed based on their topologies, limitations, and control techniques. A special attention is given to the servo control and variable frequency control systems, their comparison and applications. The paper also presents future trends in motion control systems.

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27

Yabuki, Akinori, Takashi Yoshioka, Thao Tran Phuong, Kiyoshi Ohishi, Toshimasa Miyazaki, and Yuki Yokokura. "MoD-2-3 ROBUST MOTION CONTROL USING KALMAN-FILTER-BASED INSTANTANEOUS STATE OBSERVER FOR INDUSTRIAL ROBOT." Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE 2015 (2015): _MoD—2–3–1—_MoD—2–3–3. http://dx.doi.org/10.1299/jsmemipe.2015._mod-2-3-1.

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28

Yang, Lin, and Cheng Rui Zhang. "Development of Industrial Ethernet Windows Driver for Motion Control System." Advanced Materials Research 197-198 (February 2011): 1751–56. http://dx.doi.org/10.4028/www.scientific.net/amr.197-198.1751.

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An industrial Ethernet based motion control system is presented in the paper. The first slave node in the line topology is responsible for the precise cyclic communication, and it will reduce the real-time requirement on the main controller. The communication protocol is implemented as Windows NDIS protocol driver, and provides higher priority than normal user mode application. In addition, the development environment and process are also discussed, through which the developer can debug the system software at a single computer in both simulated mode and real mode.

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29

Luh, J. Y. S., and Y. F. Zheng. "Constrained Relations between Two Coordinated Industrial Robots for Motion Control." International Journal of Robotics Research 6, no. 3 (1987): 60–70. http://dx.doi.org/10.1177/027836498700600304.

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30

Pelliccia, Luigi, Franziska Klimant, Agostino De Santis, et al. "Task-based Motion Control of Digital Humans for Industrial Applications." Procedia CIRP 62 (2017): 535–40. http://dx.doi.org/10.1016/j.procir.2016.06.057.

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31

Tuli, Tadele Belay, and Martin Manns. "Hierarchical motion control for real time simulation of industrial robots." Procedia CIRP 81 (2019): 713–18. http://dx.doi.org/10.1016/j.procir.2019.03.181.

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32

Chen, Shuyang, and John T. Wen. "Industrial Robot Trajectory Tracking Control Using Multi-Layer Neural Networks Trained by Iterative Learning Control." Robotics 10, no. 1 (2021): 50. http://dx.doi.org/10.3390/robotics10010050.

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Fast and precise robot motion is needed in many industrial applications. Most industrial robot motion controllers allow externally commanded motion profiles, but the trajectory tracking performance is affected by the robot dynamics and joint servo controllers, to which users have no direct access and about which they have little information. The performance is further compromised by time delays in transmitting the external command as a setpoint to the inner control loop. This paper presents an approach for combining neural networks and iterative learning controls to improve the trajectory trac

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33

Wang, Qining, Nicola Vitiello, Samer Mohammed, and Sunil Agrawal. "Special Issue on Wearable Robotics: Dynamics, Control and Applications." Robotica 37, no. 12 (2019): 2011–13. http://dx.doi.org/10.1017/s0263574719001486.

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While initially conceived for human motion augmentation, wearable robots have gradually evolved as technological aids in motion assistance and rehabilitation. There are increasing real-world applications in industrial and medical scenarios. Though efforts have been made on wearable robotic systems, e.g. robotic prostheses and exoskeletons, there are still several challenges in kinematics and actuation solutions, dynamic analysis and control of human-robot systems, neuro-control and human-robot interfaces; ergonomics and human-in-the-loop optimization. Meanwhile, real-world applications in indu

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34

Wu, Kai, and Bernd Kuhlenkoetter. "Dynamic behavior and path accuracy of an industrial robot with a CNC controller." Advances in Mechanical Engineering 14, no. 2 (2022): 168781322210828. http://dx.doi.org/10.1177/16878132221082869.

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The application of industrial robots in the field of machining is gradually increasing, but their low absolute position accuracy and low stiffness affect the improvement of machining accuracy. Computer numerical control (CNC) has good performance to control the motion accuracy in the machine tool. Therefore, it is proposed to improve the motion accuracy of robots. This article utilizes a stereo high-speed camera to track robot motion. Circular paths running under the CNC system are planned to evaluate its performance, which includes path accuracy, motion velocity, and acceleration. The perform

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35

Ali, Syed Huzaifa, and Ehtisham Ul Hassan. "Implementation and Analysis of Motion Control Techniques on an Industrial 7 DOF Robotic Manipulator." Journal of Studies in Science and Engineering 2, no. 2 (2022): 33–43. http://dx.doi.org/10.53898/josse2022223.

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With the quest for modernization in robotics motion control of robot manipulators is an area of active research. In motion control, inverse trajectory application is the most adopted solution which is further improved by considering the effect of external forces of the environment. The impact of external force involves dynamic modelling of the system and force control, impedance control, and admittance control techniques are adopted for the solution. This research implements the simulation and more precise visualization of the real-life manipulator under the rules of kinematics and dynamics on

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36

Tao, Fei, Ping An Mu, and Shu Guang Dai. "The Research on the Motion Control of Industrial Robots Based on LabVIEW." Applied Mechanics and Materials 433-435 (October 2013): 117–20. http://dx.doi.org/10.4028/www.scientific.net/amm.433-435.117.

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This paper puts forward a method to control the industrial robots based on the NI Corporations LabVIEW virtual instrument technology. By designing the communication protocol between the LabVIEW software program on PC and industrial robots, the LabVIEW program can take the control of industrial robots by using RS232 serial ports, including the operation instructions' transmission, the feedback of the robots' running, and the data exchange between the two. The result shows that can effectively realize the motion control of industrial robots based on LabVIEW.

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37

Koren, Yoram. "Control of Machine Tools and Robots." Applied Mechanics Reviews 39, no. 9 (1986): 1331–38. http://dx.doi.org/10.1115/1.3149522.

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The principal control structure of CNC machine tools and industrial robots is similar, since in both systems each axis of motion is separately controlled with a position feedback loop. Nevertheless, the control of robots is more complex, since they include more degrees of freedom and the motion of each joint is not independent of other joints. This paper compares the conventional control schemes of both systems, and summarizes recent developments in adaptive control of machine tools and robots.

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38

Garrido, Julio, David Santos, Diego Silva, Enrique Riveiro, and Juan Sáez. "A Conceptual Model for Joint Graphic Representation of Mechatronic Systems with Servomechanisms." Applied Sciences 11, no. 5 (2021): 2310. http://dx.doi.org/10.3390/app11052310.

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This article deals with the problem of joint representation of mechanical and motion control information of machines with servo axes. A new conceptual model is proposed for the graphical representation of industrial mechatronic systems covering the minimum information requirements from both mechanical and motion automation points of view. The model also takes into account new electronic motion control concepts such as virtual axes and temporary electronic coordination relationships between axes (e-gears). The objective is to support more integrated and collaborative work between mechanical des

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39

Dote, Yasuhiko. "Application to intelligent motion control." IEEJ Transactions on Industry Applications 109, no. 5 (1989): 312–17. http://dx.doi.org/10.1541/ieejias.109.312.

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40

Kaneko, Kenji, and Kouhei Ohnishi. "Motion control of flexible joint." IEEJ Transactions on Industry Applications 111, no. 4 (1991): 282–88. http://dx.doi.org/10.1541/ieejias.111.282.

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41

Shimada, Akira. "Motion Control toward 21th Century." IEEJ Transactions on Industry Applications 120, no. 1 (2000): 1–2. http://dx.doi.org/10.1541/ieejias.120.1.

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42

Rawlings, Eliza. "Trends in precision motion control." Assembly Automation 21, no. 1 (2001): 44–48. http://dx.doi.org/10.1108/01445150110381718.

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43

Duchaine, Vincent, and Clément Gosselin. "Unified Robot Control Scheme for Cooperative Motion, Autonomous Motion and Contact Reaction." Journal of Robotics and Mechatronics 23, no. 4 (2011): 557–66. http://dx.doi.org/10.20965/jrm.2011.p0557.

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While the majority of industrial manipulators currently in use only need to performautonomousmotion, future generations of cooperative robots will also have to execute cooperative motion and intelligently react to contacts. These extended behaviours are essential to enable safe and effective physical Human-Robot Interaction (pHRI). However, they will inevitably result in an increase of the controller complexity. This paper presents a single variable admittance control scheme that handles the three modes of operation, thereby minimizing the complexity of the controller. First, the adaptative ad

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44

Ji, Shuai, Chengrui Zhang, Tianliang Hu, and Ke Wang. "A Hardware Independent Real-time Ethernet for Motion Control Systems." International Journal of Computers Communications & Control 11, no. 1 (2015): 39. http://dx.doi.org/10.15837/ijccc.2016.1.617.

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Ethernet for Manufacture Automation Control (EtherMAC) is a new kind of real-time Ethernet used in motion control systems. It adopts a line topology with a standard industrial computer based master node and field-programmable-gate-array based slave nodes. EtherMAC employs one slave node to manage cycle communication and clock synchronization, so the real-time demand for its master node can be greatly reduced and dedicated hardware is no longer mandatory. Its distributed clock compensation mechanism can get synchronization accuracy in nanosecond order. The advantages of industrial computer and

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45

Zhu, Wen-Hong, and Joris De Schutter. "VIRTUAL DECOMPOSITION BASED MOTION/FORCE CONTROL OF A KUKA361 INDUSTRIAL MANIPULATOR." IFAC Proceedings Volumes 35, no. 1 (2002): 241–46. http://dx.doi.org/10.3182/20020721-6-es-1901.00852.

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46

Khanh, Hoa Bui Thi, Mai Hoang Thi, Luu Thi Hue, Tung Lam Nguyen, and Danh Huy Nguyen. "Flatness-based Motion Planning and Model Predictive Control of Industrial Cranes." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 15141–48. http://dx.doi.org/10.48084/etasr.7662.

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This study develops a new controller for an industrial crane system in a three-dimensional space. First, the dynamic model of the industrial crane system with two subsystems, the tower crane and the overhead crane is presented. A bidirectional mapping is established between the system's input and output, allowing for efficient trajectory generation. Additionally, the design process explicitly considers the system's kinematic constraints, ensuring safe and feasible motions. This designed trajectory serves as an input for Model Predictive Control (MPC). The MPC is designed with the dual objectiv

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47

Shevchuk, Oleksii S., and Vladimir A. Voytenko. "Development of intelligent mechatronic motion module of mobile industrial robot." Informatics. Culture. Technology 1, no. 1 (2024): 310–13. http://dx.doi.org/10.15276/ict.01.2024.48.

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Modern industry is inextricably linked with mobile industrial robots, which plays a key role in production processes and warehouse logistics. The intensive introduction of mobile industrial robots has increased the need to improve the energy efficiency of robotic installations due to their significant impact on overall production costs. At the same time, there is a pressing need to reduce the time required to develop and implement mobile industrial robots. This leads to the need to improve and optimize the properties of all components that make up a mobile industrial robot. Currently, electric

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48

Tang, Gilbert, Seemal Asif, and Phil Webb. "The integration of contactless static pose recognition and dynamic hand motion tracking control system for industrial human and robot collaboration." Industrial Robot: An International Journal 42, no. 5 (2015): 416–28. http://dx.doi.org/10.1108/ir-03-2015-0059.

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Purpose – The purpose of this paper is to describe the integration of a gesture control system for industrial collaborative robot. Human and robot collaborative systems can be a viable manufacturing solution, but efficient control and communication are required for operations to be carried out effectively and safely. Design/methodology/approach – The integrated system consists of facial recognition, static pose recognition and dynamic hand motion tracking. Each sub-system has been tested in isolation before integration and demonstration of a sample task. Findings – It is demonstrated that the

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49

Muhamediyeva, D. K., and M. Fozilova. "Analysis of the base motion model of industrial robots moving." E3S Web of Conferences 402 (2023): 03050. http://dx.doi.org/10.1051/e3sconf/202340203050.

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Development of mathematical models and algorithms for optimal control of the functioning of industrial robots on a movable base to ensure the accuracy of the trajectory of movement and positioning is considered. An equation for the functioning of industrial robots on a movable base in the implementation of a complex spatial operation obtained and, on its basis, a mathematical model of optimal control is developed.

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50

Pan, J. F., and Norbert Cheung. "Multi‐dimensional switched reluctance motors for industrial applications." Industrial Robot: An International Journal 38, no. 4 (2011): 419–28. http://dx.doi.org/10.1108/01439911111132102.

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PurposeThe paper aims to discuss a new direction of design outline of four‐axis machine with multi‐dimensional motors. It proposes an integrated, direct‐drive machine based on switched reluctance (SR) principles. This includes how the machine is constructed and the structure of each axis of motion. The simulation and control results are also provided for performance prediction. The study aims to provide a solution and find applications for high‐performance, low‐cost manufacturing facilities.Design/methodology/approachThe study is based on simulation and experimental results for performance pre

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