Skip to main content

2021 | OriginalPaper | Buchkapitel

Composite Autonomous Anti-disturbance Control for Systems with Multiple Disturbances

verfasst von : Lei Guo, Yukai Zhu

Erschienen in: China’s e-Science Blue Book 2020

Verlag: Springer Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Complex systems in various fields including robot, aerospace, advanced manufacturing, and others are affected by heterogeneous disturbances and uncertainties resulting from internal disturbances, external disturbances, and model errors. With the increasing of requirements for accuracy, stability, and reliability, enhancing the ability of autonomous anti-disturbance control in complex environment has become the theoretical bottleneck and engineering challenge in the field of automation and artificial intelligence. This paper firstly reviews the traditional control methods that can attenuate or compensate a single kind of disturbance or an “equivalent” disturbance. Then, the paper introduces the theory of “refined” quantification and analysis under the influence of multiple disturbances and uncertainties, and subsequently proposes a composite anti-disturbance control law with hierarchical architecture: Composite Hierarchical Anti-Disturbance Control (CHADC). CHADC includes the disturbance description, disturbance estimation, disturbance compensation in feedforward path and the controller with disturbance attenuation in feedback path. The observability, compensability and repressibility of disturbances are proposed for the external observability and controllability of systems with disturbances. For the attitude control system of spacecraft, the experiment and simulation equipments of whole-loop anti-disturbance control are developed, which includes attitude estimation, controller, and execution parts. This technology can accomplish the whole-loop quantification and analysis of heterogeneous disturbances, as well as simultaneous attenuation and rejection of the heterogeneous disturbances. Consequently, the autonomous anti-disturbance performances of systems can be improved significantly.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Guo L, Cheng DZ (2005) Introduction to control theory: from basic concepts to research frontiers [M]. Science Press, Beijing (in Chinese) Guo L, Cheng DZ (2005) Introduction to control theory: from basic concepts to research frontiers [M]. Science Press, Beijing (in Chinese)
2.
Zurück zum Zitat Wu HX, Hu J, Xie YC (2009) Characteristic model-based intelligent adaptive control [M]. China Science and Technology Press, Beijing (in Chinese) Wu HX, Hu J, Xie YC (2009) Characteristic model-based intelligent adaptive control [M]. China Science and Technology Press, Beijing (in Chinese)
3.
Zurück zum Zitat Chai TY (2016) Industrial process control systems: research status and development direction [J]. SCIENTIA SINICA Inf 46(8):1003–1015 (in Chinese)CrossRef Chai TY (2016) Industrial process control systems: research status and development direction [J]. SCIENTIA SINICA Inf 46(8):1003–1015 (in Chinese)CrossRef
4.
Zurück zum Zitat Bao WM (2013) Present situation and development tendency of aerospace control techniques [J]. ACTA AUTOMATICA SINICA 39(6):697–702 (in Chinese)CrossRef Bao WM (2013) Present situation and development tendency of aerospace control techniques [J]. ACTA AUTOMATICA SINICA 39(6):697–702 (in Chinese)CrossRef
5.
Zurück zum Zitat Feng CB, Zhang KJ (2004) Robust control of nonlinear systems [M]. Science Press, Beijing (in Chinese) Feng CB, Zhang KJ (2004) Robust control of nonlinear systems [M]. Science Press, Beijing (in Chinese)
6.
Zurück zum Zitat Guo L, Fang JC (2017) Recent prospects on some problems of navigation guidance and sensing technology [J]. SCIENTIA SINICA Info 47(9):1198–1208 (in Chinese) Guo L, Fang JC (2017) Recent prospects on some problems of navigation guidance and sensing technology [J]. SCIENTIA SINICA Info 47(9):1198–1208 (in Chinese)
7.
Zurück zum Zitat Davison EJ (1976) The robust control of a servo mechanism problem for linear time-invariable multivariable systems [J]. IEEE Trans Autom Control 21(1):25–34CrossRef Davison EJ (1976) The robust control of a servo mechanism problem for linear time-invariable multivariable systems [J]. IEEE Trans Autom Control 21(1):25–34CrossRef
8.
Zurück zum Zitat Byrnes CI, Francesco DP, Isidori A (1997) Output regulation of uncertain nonlinear systems [M]. Springer, BerlinMATHCrossRef Byrnes CI, Francesco DP, Isidori A (1997) Output regulation of uncertain nonlinear systems [M]. Springer, BerlinMATHCrossRef
9.
Zurück zum Zitat Han JQ (2009) From PID to active disturbance rejection control [J]. IEEE Trans Ind Electron 56(3):900–906CrossRef Han JQ (2009) From PID to active disturbance rejection control [J]. IEEE Trans Ind Electron 56(3):900–906CrossRef
10.
Zurück zum Zitat Gao ZQ (2014) On the centrality of disturbance rejection in automatic control [J]. ISA Trans 53:850–857CrossRef Gao ZQ (2014) On the centrality of disturbance rejection in automatic control [J]. ISA Trans 53:850–857CrossRef
11.
Zurück zum Zitat Huang Y, Xue WC (2012) ADRC: thought, application and theory analysis [J]. J Syst Sci Math Sci 32(10):1287–1307 (in Chinese) Huang Y, Xue WC (2012) ADRC: thought, application and theory analysis [J]. J Syst Sci Math Sci 32(10):1287–1307 (in Chinese)
12.
Zurück zum Zitat Nakao M, Ohnishi K, Miyachi K (1987) A robust decentralized joint control based on interference estimation [C]. In: IEEE International conference on robotics and automation, pp 326–331 Nakao M, Ohnishi K, Miyachi K (1987) A robust decentralized joint control based on interference estimation [C]. In: IEEE International conference on robotics and automation, pp 326–331
13.
Zurück zum Zitat Kim KH, Baik IC, Moon GW et al (1999) A current control for a permanent magnet synchronous motor with a simple disturbance estimation scheme [J]. IEEE Trans Control Syst Technol 7(5):630–633CrossRef Kim KH, Baik IC, Moon GW et al (1999) A current control for a permanent magnet synchronous motor with a simple disturbance estimation scheme [J]. IEEE Trans Control Syst Technol 7(5):630–633CrossRef
14.
Zurück zum Zitat Chen WH, Ballance DJ, Gawthrop PJ et al (2000) A nonlinear disturbance observer for robotic manipulators [J]. IEEE Trans Indus Electron 47(4):932–938CrossRef Chen WH, Ballance DJ, Gawthrop PJ et al (2000) A nonlinear disturbance observer for robotic manipulators [J]. IEEE Trans Indus Electron 47(4):932–938CrossRef
15.
Zurück zum Zitat Guo L, Feng CB, Chen WH (2006) A survey of disturbance observer-based control for dynamic nonlinear system [J]. Dyn Contin Discrete Impuls Syst Series B: Appl Algorithm 13E:79–84 Guo L, Feng CB, Chen WH (2006) A survey of disturbance observer-based control for dynamic nonlinear system [J]. Dyn Contin Discrete Impuls Syst Series B: Appl Algorithm 13E:79–84
16.
Zurück zum Zitat Chen WH, Yang J, Guo L et al (2016) Disturbance-observer-based control and related methods-an overview [J]. IEEE Trans Ind Electron 63(2):1083–1095CrossRef Chen WH, Yang J, Guo L et al (2016) Disturbance-observer-based control and related methods-an overview [J]. IEEE Trans Ind Electron 63(2):1083–1095CrossRef
17.
Zurück zum Zitat Li SH, Yang J, Chen WH et al (2014) Disturbance observer-based control: methods and applications [M]. CRC Press, Boca Raton Li SH, Yang J, Chen WH et al (2014) Disturbance observer-based control: methods and applications [M]. CRC Press, Boca Raton
18.
Zurück zum Zitat Astrom KJ, Wittenmark B (1989) Adaptive control [M]. Addison-Wesley, MAMATH Astrom KJ, Wittenmark B (1989) Adaptive control [M]. Addison-Wesley, MAMATH
19.
Zurück zum Zitat Zhou KM, Doyle JC (1998) Essentials of robust control [M]. Prentice Hall, New JerseyMATH Zhou KM, Doyle JC (1998) Essentials of robust control [M]. Prentice Hall, New JerseyMATH
20.
Zurück zum Zitat Shen TL (1996) H∞ control theory and application [M]. Tsinghua University Press, Beijing (in Chinese) Shen TL (1996) H control theory and application [M]. Tsinghua University Press, Beijing (in Chinese)
21.
Zurück zum Zitat Huang L (2003) Fundamental theory on stability and robustness[M]. Science Press, Beijing (in Chinese) Huang L (2003) Fundamental theory on stability and robustness[M]. Science Press, Beijing (in Chinese)
22.
Zurück zum Zitat Guo L, Chen WH (2005) Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach [J]. Int J Robust Nonlinear Control 15(3):109–125MathSciNetMATHCrossRef Guo L, Chen WH (2005) Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach [J]. Int J Robust Nonlinear Control 15(3):109–125MathSciNetMATHCrossRef
23.
Zurück zum Zitat Guo L, Cao SY (2013) Anti-disturbance control for systems with multiple disturbances [M]. CRC Press, Boca Raton Guo L, Cao SY (2013) Anti-disturbance control for systems with multiple disturbances [M]. CRC Press, Boca Raton
24.
Zurück zum Zitat Guo L, Zhu YK, Li WS (2018) An enhanced anti-disturbance control approach for systems subject to multiple disturbances [C]. In: 2018 Chinese automation congress, Xi’an, pp 2785–2790 Guo L, Zhu YK, Li WS (2018) An enhanced anti-disturbance control approach for systems subject to multiple disturbances [C]. In: 2018 Chinese automation congress, Xi’an, pp 2785–2790
25.
Zurück zum Zitat Wei XJ, Guo L (2010) Composite disturbance-observer-based control and H∞ control for complex continuous models [J]. Int J Robust Nonlinear Control 20(1):106–118MathSciNetMATHCrossRef Wei XJ, Guo L (2010) Composite disturbance-observer-based control and H∞ control for complex continuous models [J]. Int J Robust Nonlinear Control 20(1):106–118MathSciNetMATHCrossRef
26.
Zurück zum Zitat Wu HN, Liu ZY, Guo L (2014) Robust L∞-gain fuzzy disturbance observer-based control design with adaptive bounding for a hypersonic vehicle [J]. IEEE Trans Fuzzy Syst 22(6):1401–1402CrossRef Wu HN, Liu ZY, Guo L (2014) Robust L-gain fuzzy disturbance observer-based control design with adaptive bounding for a hypersonic vehicle [J]. IEEE Trans Fuzzy Syst 22(6):1401–1402CrossRef
27.
Zurück zum Zitat Sun HB, Guo L (2017) Neural network-based DOBC for a class of nonlinear systems with unmatched disturbances [J]. IEEE Trans Neural Netw Learn Syst 28(2):482–489MathSciNetCrossRef Sun HB, Guo L (2017) Neural network-based DOBC for a class of nonlinear systems with unmatched disturbances [J]. IEEE Trans Neural Netw Learn Syst 28(2):482–489MathSciNetCrossRef
28.
Zurück zum Zitat Zhu YK, Qiao JZ, Guo L (2019) Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators [J]. IEEE Trans Ind Electron 66(3):1973–1983CrossRef Zhu YK, Qiao JZ, Guo L (2019) Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators [J]. IEEE Trans Ind Electron 66(3):1973–1983CrossRef
29.
Zurück zum Zitat Guo L, Wang CH, Wang Y (2018) Preliminary study on causality and cause-effect control [J]. Control Decis 33(5):835–840 (in Chinese) Guo L, Wang CH, Wang Y (2018) Preliminary study on causality and cause-effect control [J]. Control Decis 33(5):835–840 (in Chinese)
30.
Zurück zum Zitat Guo L, Wen XY (2011) Hierarchical anti-disturbance adaptive control for nonlinear systems with composite disturbances and applications to missile systems [J]. Trans Inst Meas Control 33(8):942–956CrossRef Guo L, Wen XY (2011) Hierarchical anti-disturbance adaptive control for nonlinear systems with composite disturbances and applications to missile systems [J]. Trans Inst Meas Control 33(8):942–956CrossRef
31.
Zurück zum Zitat Zhu YK, Qiao JZ, Zhang YM et al (2019) High-precision trajectory tracking control for space manipulator with neutral uncertainty and deadzone nonlinearity [J]. IEEE Trans Control Syst Technol 27(5):2254–2262CrossRef Zhu YK, Qiao JZ, Zhang YM et al (2019) High-precision trajectory tracking control for space manipulator with neutral uncertainty and deadzone nonlinearity [J]. IEEE Trans Control Syst Technol 27(5):2254–2262CrossRef
32.
Zurück zum Zitat Cao SY, Guo L, Wen XY (2011) Fault tolerant control with disturbance rejection and attenuation performance for systems with multiple disturbances [J]. Asian J Control 13(6):1056–1064MathSciNetMATHCrossRef Cao SY, Guo L, Wen XY (2011) Fault tolerant control with disturbance rejection and attenuation performance for systems with multiple disturbances [J]. Asian J Control 13(6):1056–1064MathSciNetMATHCrossRef
33.
Zurück zum Zitat Zhu YK, Guo L, Qiao JZ et al (2019) An enhanced anti-disturbance attitude control law for flexible spacecrafts subject to multiple disturbances [J]. Control Eng Pract 84:274–283CrossRef Zhu YK, Guo L, Qiao JZ et al (2019) An enhanced anti-disturbance attitude control law for flexible spacecrafts subject to multiple disturbances [J]. Control Eng Pract 84:274–283CrossRef
34.
Zurück zum Zitat Guo L, Wang H (2010) Stochastic distribution control system design: a convex optimization approach [M]. Springer, LondonMATHCrossRef Guo L, Wang H (2010) Stochastic distribution control system design: a convex optimization approach [M]. Springer, LondonMATHCrossRef
Metadaten
Titel
Composite Autonomous Anti-disturbance Control for Systems with Multiple Disturbances
verfasst von
Lei Guo
Yukai Zhu
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-8342-1_14

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen.