Tomasz Tarczewski, Michal Skiwski, Lech M. Grzesiak and Marek Zieliński
and Power Electronic Converters. Springer, pp. 75-98.
Grzesiak, L. M. and Tarczewski, T. (2013). PMSM Servo-Drive Control System with a State Feedback and a Load Torque Feedforward Compensation. COMPEL, 32(1), pp. 364-382.
Harnefors, L. and Nee, H.-P. (1998). Model- Based Current Control of AC Machines Using the Internal Model Control Method. IEEE Transactions on Industry Applications, 34(1), pp.133-141.
Mandra S. (2014). Comparison of Automatically Tuned Cascade Control Systems of Servo-Drives for Numerically
ABELOVSK, M.: Observers of state parameters of sensorless servo-drives with AM (Pozorovatele stavových veličín bezsnímačových servopohonov s AM), Thesis, Department of Automation and Control, FEI STU, Bratislava, 2003. (in Slovak)
VAS, P.: Sensorless Vector and Direct Torque Control, Oxford University Press, New York, 1998.
OHYAMA, K.—ASHER, G.—SUMNER, M.: Comparison of the Practical Performance and Operating Limits of Sensorless Induction Motor Drive using a Closed Loop
The article is concerned with the issues of the drive of small diameter knitting machines. In connection to the proposal of optimum structure of the driving systems of the machine, there have been analysed the possibilities of precisely controlled servo drives. An optimised structure of the drives allows for the utilisation of precisely defined position and velocity functions. There is applied here the function of a polynomial of 7th degree, proposed for impact-free course of the acceleration, and it is compared with the results corresponding to the existing structure of drives of knitting machines. At the same time, there is analysis and comparison of the consumption of electric power by the original and optimised systems.
The article presents constructional, technological and operational issues associated with the compensation of thermal deformations of ball screw drives. Further, it demonstrates the analysis of a new sensorless compensation method relying on coordinated computation of data fed directly from the drive and the control system in combination with the information pertaining to the operational history of the servo drive, retrieved with the use of an artificial neural networks (ANN)-based learning system. Preliminary ANN-based models, developed to simulate energy dissipation resulting from the friction in the screw-cap assembly and convection of heat are expounded upon, as are the processes of data selection and ANN learning. In conclusion, the article presents the results of simulation studies and preliminary experimental evidence confirming the applicability of the proposed method, efficiently compensating for the thermal elongation of the ball screw in machine tool drives.
1. VUKOSAVIC, S., STOJIC, M., 1998. Suppression of Torsional Oscillations in a High-Performance Speed ServoDrive. In: IEEE Trans. on Industrial Electronics , vol. 45, pp. 108-117
2. ELLIS, G., 2004. Control system design guide . San Diego: Elsevier Academic Press. 464 pp.
3. VÍTEČKOVÁ, M., VÍTEČEK, A., 2003. Modulus optimum for digital controllers. In: Acta Montanistica Slovaca, vol. 8, no. 4, pp. 214 – 216.
4. BALÁTĚ, J., 2003. Automatické řízení (Automatic Control). Praha: BEN – technická literatura. ISBN 80
statistical decisions with random fuzzy data – an application for the Weibull distribution, Maintenance and Reliability, Vol. 17(4), pp. 610-616, 2015.
 Kollek, W. et all., Fundamentals of design, modelling, operation of elements and microdraulic systems, Publishing House of Wroclaw University of Technology, Wroclaw 2011.
 Klarecki, K., Hetmańczyk, M. P., Rabsztyn, D., Influence of the selected settings of the controller on the behavior of the hydraulic servodrive. Mechatronics – Ideas for Industrial Application , Advances in Intelligent Systems and
Annual International Siberian Workshop on Electron Devices and Materials (pp. 184–186). DOI: 10.1109/PESC.2004.241338.
8. Pillay, P., & Krishnan, R. (1991). Application characteristics of permanent magnet synchronous and brushless DC motors for servodrives. IEEE Transactions on Industry Applications, 27 (5), 986–996. DOI: 10.1109/28.90357.
9. Dirba, J., Lavrinovicha, L., & Dobriyan, R. (2015). The prospects of synchronous reluctance motors usage in low power electrical devices. Latv. J.Phys. Tech.Sci., 52 (2), 40–48. DOI: 10.1515/lpts-2015
., Seliger, N., Hagl, R., Schmitt-Landsiedel, D. and Kennel, R. (2017). FPGA-based high dynamic servodrive control with a 200 kHz Gallium Nitride inverter. In: 2017 19th European Conference on Power Electronics and Applications (EPE’17 ECCE Europe), Warsaw , pp. P.1–P.10. doi: 10.23919/EPE17ECCEEurope.2017.8098997
Swierczynski, D. and Kazmierkowski, M. P. (2002). Direct torque control of permanent magnet synchronous motor (PMSM) using space vector modulation (DTC-SVM)-simulation and experimental results. In: IEEE 2002 28th Annual Conference of the Industrial
controller for variable-speed motor drives, IEEE Transactions on Industrial Electronics 45 (3): 445-450.
Janiszowski, K. (2005). Modification of digital PID controller for application in servo-drives, International Conference Hydraulics and Pneumatics, Vratna, Slovakia , pp. 614-624.
Kuo-Kai, S. and Cheng-Yuan, C. (2003). Anti-windup controller design for piezo-electric ceramic linear ultrasonic motor drive, Proceedings of the 29th Annual Conference of the IEEE Industrial Electronics Society, Roandre, VA, USA , Vol
Abderrahim Bentaallah, Ahmed Massoum, Farid Benhamida and Abdelkader Meroufel
MARINO, R.—PERESADA, S.—TOMEI, P.: Adaptative Output Feedback Control of Current-Fed Induction Motors, 12 th IFAC World Congress, 1993.
MARINO, R.—TOMEI, P.: Nonlinear Control Design: Geometric, Adaptive and Robust, Prentice Hall, 1995.
AMOR, L. B.: Internat. J. Adaptive Control and Signal Processing 7 (1993).
GRCAR, B.—CAFURA, P.—ZNIDARIC, M.—GAUSCH Nonlinear Control of Synchronous ServoDrives: IEEE Trans. on Control Systems Technology 4