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FUZZY ADAPTIVE CONTROL OF NONLINEAR TWO-MASS SYSTEM Cover

FUZZY ADAPTIVE CONTROL OF NONLINEAR TWO-MASS SYSTEM

Power Electronics and Drives
Volume 1 (2016): Issue 2 (December 2016)
By: Karol Wróbel  
Open Access
|Oct 2017

References

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  21. system with different recurrences, 2014 IEEE 23rd International Symposium on Industrial Electronics
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  26. i warstwą tranzycji Petriego w sterowaniu napędem elektrycznym, Przegląd Elektrotechniczny, 2016, 92, 4, 79-84.
    Search in Google ScholarBack to article
  27. [6] SZABAT K., ORŁOWSKA-KOWALSKA T., Vibration Suppression in a Two-Mass Drive System Using PI
    Search in Google ScholarBack to article
  28. Speed Controller and Additional Feedbacks - Comparative Study, IEEE Trans. on Industrial Electronics, 2007, 54, 2, 1193-1206.10.1109/TIE.2007.892608
    Search in Google ScholarBack to article
  29. [7] ORŁOWSKA-KOWALSKA T., DYBKOWSKI M., SZABAT K., Adaptive Sliding-Mode Neuro-Fuzzy Control
    Search in Google ScholarBack to article
  30. of the Two-Mass Induction Motor Drive Without Mechanical Sensors, IEEE Transactions on Industrial
    Search in Google ScholarBack to article
  31. Electronics, 2009, 57, 2, 553-564.10.1109/TIE.2009.2036023
    Search in Google ScholarBack to article
  32. [8] SERKIES P., SZABAT K., Application of the MPC to the Position Control of the Two-Mass Drive
    Search in Google ScholarBack to article
  33. System, IEEE Transactions on Industrial Electronics, 2012, 60, 9, 3679-3688.10.1109/TIE.2012.2208435
    Search in Google ScholarBack to article
  34. [9] KAROLEWSKI B., Modelowanie więzów łączących elementy układu napędowego, Przegląd Elektrotechniczny, 2001, 77, 2, 39-43.
    Search in Google ScholarBack to article
  35. [10] OLSSON H., ASTROM K.J., CANUDAS de WIT C., GAFVERT M., LISCHINSKY P., Friction Models and
    Search in Google ScholarBack to article
  36. Friction Compensation, European Journal of Control, 1998, 4, 3, 176-195.10.1016/S0947-3580(98)70113-X
    Open DOISearch in Google ScholarBack to article
  37. [11] CILIZ M.K., TOMIZUKA M., Friction modeling and compensation for motion control using hybrid
    Search in Google ScholarBack to article
  38. neural network models, Engineering Application of AI, 2007, 20, 7, 898-911.10.1016/j.engappai.2006.12.007
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  39. [12] BONA B., INDRI, M., Friction Compensation in Robotics: an Overview, IEEE Conference on Decision
    Search in Google ScholarBack to article
  40. and Control, 2005, 4360-4367.
    Search in Google ScholarBack to article
  41. [13] LIN F.J., FUNG R.F., WAI R.J., Comparison of sliding-mode and fuzzy neural network control for
    Search in Google ScholarBack to article
  42. motor-toggle servomechanism, IEEE Trans. Mechatronics, 1998, 3, 4, 302-318.10.1109/3516.736164
    Search in Google ScholarBack to article
  43. [14] SZABAT K., KAMIŃSKI M., ORŁOWSKA-KOWALSKA T., Robust Control of an Electrical Drive using
    Search in Google ScholarBack to article
  44. Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator, The International Conference
    Search in Google ScholarBack to article
  45. on “Computer as a Tool” EUROCON, 2007, Warsaw, 1706-1711.
    Search in Google ScholarBack to article
  46. [15] WRÓBEL K., Adaptive fuzzy control based on sets of the second type of the complex drive system
    Search in Google ScholarBack to article
  47. operating at low speed, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements
    Search in Google ScholarBack to article
  48. of the Wrocław University of Technology, Studies and Research, 2015, 71, 35, 109-117.
    Search in Google ScholarBack to article
  49. [1] WAI R., LIN C.M., HSU C.F., Adaptive fuzzy sliding-mode control for electrical servo drive, Fuzzy
    Search in Google ScholarBack to article
  50. Sets and Systems, 2004, 143, 2, 295-310.10.1016/S0165-0114(03)00199-4
    Search in Google ScholarBack to article
  51. [2] PILTAN F., SULAIMAN N., ALLAHDADI S., DIALAME M., ZARE A., Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control, Int.
    Search in Google ScholarBack to article
  52. Journal of Artificial Intelligence and Expert System, 2011, 2, 5, 208-228.
    Search in Google ScholarBack to article
  53. [3] KNYCHAS S., DERUGO P., SZABAT K., Damping of the torsional vibration using adaptive fuzzy control
    Search in Google ScholarBack to article
  54. system with different recurrences, 2014 IEEE 23rd International Symposium on Industrial Electronics
    Search in Google ScholarBack to article
  55. (ISIE), Istambul, 2014, 1526-1531.
    Search in Google ScholarBack to article
  56. [4] DERUGO P., KACERKA J., JASTRZĘBSKI M., SZABAT K., Analiza ARN-R PID z warstwą tranzycji Petriego, w sterowaniu silnikiem liniowym z magnesami trwałymi, Poznań University of Technology
    Search in Google ScholarBack to article
  57. Academic Journals, 2015, 83, 2015, 31-38.
    Search in Google ScholarBack to article
  58. [5] DERUGO P., KACERKA J., SZABAT K., Adaptacyjny regulator neuronowo-rozmyty z rekurencjami
    Search in Google ScholarBack to article
  59. i warstwą tranzycji Petriego w sterowaniu napędem elektrycznym, Przegląd Elektrotechniczny, 2016, 92, 4, 79-84.
    Search in Google ScholarBack to article
  60. [6] SZABAT K., ORŁOWSKA-KOWALSKA T., Vibration Suppression in a Two-Mass Drive System Using PI
    Search in Google ScholarBack to article
  61. Speed Controller and Additional Feedbacks - Comparative Study, IEEE Trans. on Industrial Electronics, 2007, 54, 2, 1193-1206.10.1109/TIE.2007.892608
    Search in Google ScholarBack to article
  62. [7] ORŁOWSKA-KOWALSKA T., DYBKOWSKI M., SZABAT K., Adaptive Sliding-Mode Neuro-Fuzzy Control
    Search in Google ScholarBack to article
  63. of the Two-Mass Induction Motor Drive Without Mechanical Sensors, IEEE Transactions on Industrial
    Search in Google ScholarBack to article
  64. Electronics, 2009, 57, 2, 553-564.10.1109/TIE.2009.2036023
    Search in Google ScholarBack to article
  65. [8] SERKIES P., SZABAT K., Application of the MPC to the Position Control of the Two-Mass Drive
    Search in Google ScholarBack to article
  66. System, IEEE Transactions on Industrial Electronics, 2012, 60, 9, 3679-3688.10.1109/TIE.2012.2208435
    Search in Google ScholarBack to article
  67. [9] KAROLEWSKI B., Modelowanie więzów łączących elementy układu napędowego, Przegląd Elektrotechniczny, 2001, 77, 2, 39-43.
    Search in Google ScholarBack to article
  68. [10] OLSSON H., ASTROM K.J., CANUDAS de WIT C., GAFVERT M., LISCHINSKY P., Friction Models and
    Search in Google ScholarBack to article
  69. Friction Compensation, European Journal of Control, 1998, 4, 3, 176-195.10.1016/S0947-3580(98)70113-X
    Open DOISearch in Google ScholarBack to article
  70. [11] CILIZ M.K., TOMIZUKA M., Friction modeling and compensation for motion control using hybrid
    Search in Google ScholarBack to article
  71. neural network models, Engineering Application of AI, 2007, 20, 7, 898-911.10.1016/j.engappai.2006.12.007
    Search in Google ScholarBack to article
  72. [12] BONA B., INDRI, M., Friction Compensation in Robotics: an Overview, IEEE Conference on Decision
    Search in Google ScholarBack to article
  73. and Control, 2005, 4360-4367.
    Search in Google ScholarBack to article
  74. [13] LIN F.J., FUNG R.F., WAI R.J., Comparison of sliding-mode and fuzzy neural network control for
    Search in Google ScholarBack to article
  75. motor-toggle servomechanism, IEEE Trans. Mechatronics, 1998, 3, 4, 302-318.10.1109/3516.736164
    Search in Google ScholarBack to article
  76. [14] SZABAT K., KAMIŃSKI M., ORŁOWSKA-KOWALSKA T., Robust Control of an Electrical Drive using
    Search in Google ScholarBack to article
  77. Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator, The International Conference
    Search in Google ScholarBack to article
  78. on “Computer as a Tool” EUROCON, 2007, Warsaw, 1706-1711.
    Search in Google ScholarBack to article
  79. [15] WRÓBEL K., Adaptive fuzzy control based on sets of the second type of the complex drive system
    Search in Google ScholarBack to article
  80. operating at low speed, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements
    Search in Google ScholarBack to article
  81. of the Wrocław University of Technology, Studies and Research, 2015, 71, 35, 109-117.
    Search in Google ScholarBack to article
  82. [1] WAI R., LIN C.M., HSU C.F., Adaptive fuzzy sliding-mode control for electrical servo drive, Fuzzy
    Search in Google ScholarBack to article
  83. Sets and Systems, 2004, 143, 2, 295-310.10.1016/S0165-0114(03)00199-4
    Search in Google ScholarBack to article
  84. [2] PILTAN F., SULAIMAN N., ALLAHDADI S., DIALAME M., ZARE A., Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control, Int.
    Search in Google ScholarBack to article
  85. Journal of Artificial Intelligence and Expert System, 2011, 2, 5, 208-228.
    Search in Google ScholarBack to article
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    Search in Google ScholarBack to article
  87. system with different recurrences, 2014 IEEE 23rd International Symposium on Industrial Electronics
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  89. [4] DERUGO P., KACERKA J., JASTRZĘBSKI M., SZABAT K., Analiza ARN-R PID z warstwą tranzycji Petriego, w sterowaniu silnikiem liniowym z magnesami trwałymi, Poznań University of Technology
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  90. Academic Journals, 2015, 83, 2015, 31-38.
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    Search in Google ScholarBack to article
  92. i warstwą tranzycji Petriego w sterowaniu napędem elektrycznym, Przegląd Elektrotechniczny, 2016, 92, 4, 79-84.
    Search in Google ScholarBack to article
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    Search in Google ScholarBack to article
  94. Speed Controller and Additional Feedbacks - Comparative Study, IEEE Trans. on Industrial Electronics, 2007, 54, 2, 1193-1206.10.1109/TIE.2007.892608
    Search in Google ScholarBack to article
  95. [7] ORŁOWSKA-KOWALSKA T., DYBKOWSKI M., SZABAT K., Adaptive Sliding-Mode Neuro-Fuzzy Control
    Search in Google ScholarBack to article
  96. of the Two-Mass Induction Motor Drive Without Mechanical Sensors, IEEE Transactions on Industrial
    Search in Google ScholarBack to article
  97. Electronics, 2009, 57, 2, 553-564.10.1109/TIE.2009.2036023
    Search in Google ScholarBack to article
  98. [8] SERKIES P., SZABAT K., Application of the MPC to the Position Control of the Two-Mass Drive
    Search in Google ScholarBack to article
  99. System, IEEE Transactions on Industrial Electronics, 2012, 60, 9, 3679-3688.10.1109/TIE.2012.2208435
    Search in Google ScholarBack to article
  100. [9] KAROLEWSKI B., Modelowanie więzów łączących elementy układu napędowego, Przegląd Elektrotechniczny, 2001, 77, 2, 39-43.
    Search in Google ScholarBack to article
  101. [10] OLSSON H., ASTROM K.J., CANUDAS de WIT C., GAFVERT M., LISCHINSKY P., Friction Models and
    Search in Google ScholarBack to article
  102. Friction Compensation, European Journal of Control, 1998, 4, 3, 176-195.10.1016/S0947-3580(98)70113-X
    Open DOISearch in Google ScholarBack to article
  103. [11] CILIZ M.K., TOMIZUKA M., Friction modeling and compensation for motion control using hybrid
    Search in Google ScholarBack to article
  104. neural network models, Engineering Application of AI, 2007, 20, 7, 898-911.10.1016/j.engappai.2006.12.007
    Search in Google ScholarBack to article
  105. [12] BONA B., INDRI, M., Friction Compensation in Robotics: an Overview, IEEE Conference on Decision
    Search in Google ScholarBack to article
  106. and Control, 2005, 4360-4367.
    Search in Google ScholarBack to article
  107. [13] LIN F.J., FUNG R.F., WAI R.J., Comparison of sliding-mode and fuzzy neural network control for
    Search in Google ScholarBack to article
  108. motor-toggle servomechanism, IEEE Trans. Mechatronics, 1998, 3, 4, 302-318.10.1109/3516.736164
    Search in Google ScholarBack to article
  109. [14] SZABAT K., KAMIŃSKI M., ORŁOWSKA-KOWALSKA T., Robust Control of an Electrical Drive using
    Search in Google ScholarBack to article
  110. Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator, The International Conference
    Search in Google ScholarBack to article
  111. on “Computer as a Tool” EUROCON, 2007, Warsaw, 1706-1711.
    Search in Google ScholarBack to article
  112. [15] WRÓBEL K., Adaptive fuzzy control based on sets of the second type of the complex drive system
    Search in Google ScholarBack to article
  113. operating at low speed, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements
    Search in Google ScholarBack to article
  114. of the Wrocław University of Technology, Studies and Research, 2015, 71, 35, 109-117.
    Search in Google ScholarBack to article
  115. [1] WAI R., LIN C.M., HSU C.F., Adaptive fuzzy sliding-mode control for electrical servo drive, Fuzzy
    Search in Google ScholarBack to article
  116. Sets and Systems, 2004, 143, 2, 295-310.10.1016/S0165-0114(03)00199-4
    Search in Google ScholarBack to article
  117. [2] PILTAN F., SULAIMAN N., ALLAHDADI S., DIALAME M., ZARE A., Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control, Int.
    Search in Google ScholarBack to article
  118. Journal of Artificial Intelligence and Expert System, 2011, 2, 5, 208-228.
    Search in Google ScholarBack to article
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    Search in Google ScholarBack to article
  120. system with different recurrences, 2014 IEEE 23rd International Symposium on Industrial Electronics
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  121. (ISIE), Istambul, 2014, 1526-1531.
    Search in Google ScholarBack to article
  122. [4] DERUGO P., KACERKA J., JASTRZĘBSKI M., SZABAT K., Analiza ARN-R PID z warstwą tranzycji Petriego, w sterowaniu silnikiem liniowym z magnesami trwałymi, Poznań University of Technology
    Search in Google ScholarBack to article
  123. Academic Journals, 2015, 83, 2015, 31-38.
    Search in Google ScholarBack to article
  124. [5] DERUGO P., KACERKA J., SZABAT K., Adaptacyjny regulator neuronowo-rozmyty z rekurencjami
    Search in Google ScholarBack to article
  125. i warstwą tranzycji Petriego w sterowaniu napędem elektrycznym, Przegląd Elektrotechniczny, 2016, 92, 4, 79-84.
    Search in Google ScholarBack to article
  126. [6] SZABAT K., ORŁOWSKA-KOWALSKA T., Vibration Suppression in a Two-Mass Drive System Using PI
    Search in Google ScholarBack to article
  127. Speed Controller and Additional Feedbacks - Comparative Study, IEEE Trans. on Industrial Electronics, 2007, 54, 2, 1193-1206.10.1109/TIE.2007.892608
    Search in Google ScholarBack to article
  128. [7] ORŁOWSKA-KOWALSKA T., DYBKOWSKI M., SZABAT K., Adaptive Sliding-Mode Neuro-Fuzzy Control
    Search in Google ScholarBack to article
  129. of the Two-Mass Induction Motor Drive Without Mechanical Sensors, IEEE Transactions on Industrial
    Search in Google ScholarBack to article
  130. Electronics, 2009, 57, 2, 553-564.10.1109/TIE.2009.2036023
    Search in Google ScholarBack to article
  131. [8] SERKIES P., SZABAT K., Application of the MPC to the Position Control of the Two-Mass Drive
    Search in Google ScholarBack to article
  132. System, IEEE Transactions on Industrial Electronics, 2012, 60, 9, 3679-3688.10.1109/TIE.2012.2208435
    Search in Google ScholarBack to article
  133. [9] KAROLEWSKI B., Modelowanie więzów łączących elementy układu napędowego, Przegląd Elektrotechniczny, 2001, 77, 2, 39-43.
    Search in Google ScholarBack to article
  134. [10] OLSSON H., ASTROM K.J., CANUDAS de WIT C., GAFVERT M., LISCHINSKY P., Friction Models and
    Search in Google ScholarBack to article
  135. Friction Compensation, European Journal of Control, 1998, 4, 3, 176-195.10.1016/S0947-3580(98)70113-X
    Open DOISearch in Google ScholarBack to article
  136. [11] CILIZ M.K., TOMIZUKA M., Friction modeling and compensation for motion control using hybrid
    Search in Google ScholarBack to article
  137. neural network models, Engineering Application of AI, 2007, 20, 7, 898-911.10.1016/j.engappai.2006.12.007
    Search in Google ScholarBack to article
  138. [12] BONA B., INDRI, M., Friction Compensation in Robotics: an Overview, IEEE Conference on Decision
    Search in Google ScholarBack to article
  139. and Control, 2005, 4360-4367.
    Search in Google ScholarBack to article
  140. [13] LIN F.J., FUNG R.F., WAI R.J., Comparison of sliding-mode and fuzzy neural network control for
    Search in Google ScholarBack to article
  141. motor-toggle servomechanism, IEEE Trans. Mechatronics, 1998, 3, 4, 302-318.10.1109/3516.736164
    Search in Google ScholarBack to article
  142. [14] SZABAT K., KAMIŃSKI M., ORŁOWSKA-KOWALSKA T., Robust Control of an Electrical Drive using
    Search in Google ScholarBack to article
  143. Adaptive Fuzzy Logic Control Structure with Sliding-Mode Compensator, The International Conference
    Search in Google ScholarBack to article
  144. on “Computer as a Tool” EUROCON, 2007, Warsaw, 1706-1711.
    Search in Google ScholarBack to article
  145. [15] WRÓBEL K., Adaptive fuzzy control based on sets of the second type of the complex drive system
    Search in Google ScholarBack to article
  146. operating at low speed, Scientific Papers of the Institute of Electrical Machines, Drives and Measurements
    Search in Google ScholarBack to article
  147. of the Wrocław University of Technology, Studies and Research, 2015, 71, 35, 109-117.
    Search in Google ScholarBack to article
  148. [1] WAI R., LIN C.M., HSU C.F., Adaptive fuzzy sliding-mode control for electrical servo drive, Fuzzy
    Search in Google ScholarBack to article
  149. Sets and Systems, 2004, 143, 2, 295-310.10.1016/S0165-0114(03)00199-4
    Search in Google ScholarBack to article
  150. [2] PILTAN F., SULAIMAN N., ALLAHDADI S., DIALAME M., ZARE A., Position Control of Robot Manipulator: Design a Novel SISO Adaptive Sliding Mode Fuzzy PD Fuzzy Sliding Mode Control, Int.
    Search in Google ScholarBack to article
  151. Journal of Artificial Intelligence and Expert System, 2011, 2, 5, 208-228.
    Search in Google ScholarBack to article
  152. [3] KNYCHAS S., DERUGO P., SZABAT K., Damping of the torsional vibration using adaptive fuzzy control
    Search in Google ScholarBack to article
  153. system with different recurrences, 2014 IEEE 23rd International Symposium on Industrial Electronics
    Search in Google ScholarBack to article
  154. (ISIE), Istambul, 2014, 1526-1531.
    Search in Google ScholarBack to article
  155. [4] DERUGO P., KACERKA J., JASTRZĘBSKI M., SZABAT K., Analiza ARN-R PID z warstwą tranzycji Petriego, w sterowaniu silnikiem liniowym z magnesami trwałymi, Poznań University of Technology
    Search in Google ScholarBack to article
  156. Academic Journals, 2015, 83, 2015, 31-38.
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DOI: https://doi.org/10.5277/ped160208 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
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Language: English
Page range: 133 - 146
Submitted on: Jun 3, 2016
|
Accepted on: Sep 12, 2016
|
Published on: Oct 27, 2017
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
fuzzy control,
adaptive control,
nonlinear two-mass system,
compensation of friction
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Electronics

© 2017 Karol Wróbel, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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