GB2585714B - Adaptive backstepping optimal control method of fractional-order chaotic electromechanical transducer system - Google Patents

Adaptive backstepping optimal control method of fractional-order chaotic electromechanical transducer system Download PDF

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Publication number
GB2585714B
GB2585714B GB1911738.1A GB201911738A GB2585714B GB 2585714 B GB2585714 B GB 2585714B GB 201911738 A GB201911738 A GB 201911738A GB 2585714 B GB2585714 B GB 2585714B
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United Kingdom
Prior art keywords
fractional
control method
optimal control
electromechanical transducer
transducer system
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Expired - Fee Related
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GB1911738.1A
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GB201911738D0 (en
GB2585714A (en
Inventor
Luo Shaohua
Wu Songli
Sun Quanping
Chen Zhong
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Huaiyin Institute of Technology
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Huaiyin Institute of Technology
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    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/0285—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks and fuzzy logic
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

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  • Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Feedback Control In General (AREA)
GB1911738.1A 2019-07-12 2019-08-15 Adaptive backstepping optimal control method of fractional-order chaotic electromechanical transducer system Expired - Fee Related GB2585714B (en)

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CN201910628908.XA CN110262253B (en) 2019-07-12 2019-07-12 Adaptive backstepping optimal control method of fractional order chaotic electromechanical transducer system

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GB201911738D0 GB201911738D0 (en) 2019-10-02
GB2585714A GB2585714A (en) 2021-01-20
GB2585714B true GB2585714B (en) 2023-11-15

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CN107592048B (en) * 2017-10-12 2019-07-23 重庆航天职业技术学院 The adaptive chaos control method of fractional order brushless DC motor system
CN109613826B (en) * 2018-12-17 2021-07-27 重庆航天职业技术学院 Anti-oscillation self-adaptive control method of fractional-order arched MEMS resonator
CN109991852B (en) * 2019-04-19 2022-02-22 贵州大学 Control method of fractional order electrostatic driving micro-electromechanical system with hysteresis characteristic

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Non-Patent Citations (1)

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Title
El-Sousy Fayez et al., "High-Precision Adaptive Backstepping Optimal Control Using RBFN for PMSM-Driven Linear Motion Stage", published 12-05-2019, IEEE, pp1680-1687, "2019 IEEE International Electric Machines & Drives Conference (IEMDC)" *

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GB201911738D0 (en) 2019-10-02
CN110262253A (en) 2019-09-20
GB2585714A (en) 2021-01-20
CN110262253B (en) 2023-01-31

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