Constrained control allocation for nonlinear systems with actuator failures or faults

Constrained control allocation for nonlinear systems with actuator failures or faults

In this paper, a combination of dynamic constrained control allocation with terminal sliding mode control is proposed for a general class of overactuated nonlinear systems with actuator faults/failures. First, the terminal sliding mode control is designed to converge the system tracking error to zero in a finite-time. Then a control allocation strategy is developed and will be solved by a Lyapunov method, which leads to a dynamic update law with finite-time convergence. This strategy satisfies input limits and when faults/failures occur in some of the actuators, the control signals are automatically redistributed among the healthy actuators. Simulation results on a near space vehicle show the effectiveness of the proposed approach.

___

  • [1] Liao F, Wang JL, Yang GH. Reliable robust flight tracking control: an LMI approach. IEEE T Contr Syst T 2002; 10: 76-89.
  • [2] Yang GH, Ye D. Adaptive fault-tolerant H-infinity control against sensor failures. IET Control Theory A 2008; 2: 95-107.
  • [3] Li XJ, Yang GH. Robust adaptive fault tolerant control for uncertain linear systems with actuator failures. IET Control Theory A 2012; 6: 1544-1551.
  • [4] Wang J, Pei HL, Wang NZ. Adaptive output feedback control using fault compensation and fault estimation for linear system with actuator failure. Int J Automat Comput 2013; 10: 463-471.
  • [5] Yang Q, Ge SS, Sun Y. Adaptive actuator fault tolerant control for uncertain nonlinear systems with multiple actuators. Automatica 2015; 60: 92-99.
  • [6] Wang H, Liu X, Liu PX, Li S. Robust adaptive fuzzy fault-tolerant control for a class of non-lower-triangular nonlinear systems with actuator failures. Inform Sciences 2016; 336: 60-74.
  • [7] Jin J. Modified pseudoinverse redistribution methods for redundant control allocation. J Guid Control Dynam 2005; 28: 1076-1079.
  • [8] Bodson M. Evaluation of optimization methods for control allocation. J Guid Control Dynam 2002; 25: 703-711.
  • [9] Buffington JM, Enns DF, Teel AR. Control allocation and zero dynamics. J Guid Control Dynan 1998; 21: 458-464.
  • [10] Petersen JAM, Bodson M. Constrained quadratic programming techniques for control allocation. IEEE T Contr Syst T 2006; 14: 91-98.
  • [11] Poonamallee VL, Doman DB. A nonlinear programming approach for control allocation. In: Proceedings of the American Control Conference; 30 June–2 July 2004; Boston, MA, USA. IEEE. pp. 1689-1694.
  • [12] Johansen TA. Optimizing nonlinear control allocation. In: Proceedings of the 43rd IEEE Conference on Decision and Control; 2004; Atlantis, Bahamas. pp. 3435-3440.
  • [13] Benosman M, Liao F, Lum KY. Nonlinear control allocation for non-minimum phase systems. IEEE T Contr Syst T 2009; 17: 394-404.
  • [14] Edwards C, Spurgeon SK. Sliding Mode Control: Theory and Applications. London, UK: Tailor & Francis, 1998.
  • [15] Hamayun MT, Edwards C, Alwi H. A fault tolerant control allocation scheme with output integral sliding modes. Automatica 2013; 49: 1830-1837.
  • [16] Alwi H, Edwards C, Stroosma O, Mulder JA, Hamayun MT. Real-time implementation of an ISM fault-tolerant control scheme for LPV plants. IEEE T Ind Electron 2015; 62: 3896-3905.
  • [17] Du H, Li S, Qian C. Finite-time attitude tracking control of spacecraft with application to attitude synchronization. IEEE T Automat Contr 2011; 56: 2711-2717.
  • [18] Song ZH, Li H, Sun K. Finite-time control for nonlinear spacecraft attitude based on terminal sliding mode technique. ISA T 2014; 53: 117-124.
  • [19] Isidori A. Nonlinear Control Systems. 2nd ed. New York, NY, USA: Springer-Verlag, 1989.
  • [20] Chen M, Wu QX, Cui RX. Terminal sliding mode tracking control for a class of SISO uncertain nonlinear systems. ISA T 2013; 52: 198-206.
  • [21] Miao P, Shen Y, Xia X. Finite time dual neural networks with a tunable activation function for solving quadratic programming problems and its application. Neurocomputing 2014; 143: 80-89.
  • [22] Chen M. Constrained control allocation for over-actuated aircraft using a neurodynamic model. IEEE T Syst Man Cy B 2016; 46: 1630-1641.
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: 6
  • Yayıncı: TÜBİTAK
Sayıdaki Diğer Makaleler

A parametric battery state of health estimation method for electric vehicle applications

Abdulkadir BALIKÇI, Turev SARIKURT, Murat CEYLAN

An experimental study of indoor RSS-based RF fingerprinting localization using GSM and Wi-Fi signals

Hasari ÇELEBİ, Engin ZEYDAN, Hakan Paşa PARTAL, İlyas Alper KARATEPE, Ahmet Salih ER, Gökhan ÇELİK

Constrained control allocation for nonlinear systems with actuator failures or faults

Saman BOUKANI EBRAHIMI, Roya AMJADIFARD, Mohammad Javad KHOSROWJERDI

An ultralow power, 0.003-mm2 area, voltage to frequency-based smart temperature sensor for 55 ◦C to +125 ◦C with one-point calibration

Krishnaprasad KSR, Mudasir BASHIR, Sreehari Rao PATRI

A bidirectional wireless power transfer system for an electric vehicle with a relay circuit

Xiaojie WU, Wei WANG, Chenyang XIA, Yanhe WANG, Kezhang LIN, Yuling LIU

Extraction of geometric and prosodic features from human-gait-speech data for behavioral pattern detection: Part I

Raj Kumar PATRA, Tilendra Shishir SINHA, Ravi Prakash DUBEY

MOPSO-based predictive control strategy for efficient operation of sensorless vector-controlled fuel cell electric vehicle induction motor drives

Adel Abdelaziz Abdelghany ELGAMMAL, Mohamed Fathy NAGGAR EL

A stable marriage-based request routing framework for interconnection CDNs

Lijian ZOU, Xiaowen TONG, Xiaoqun YUAN, Bo HUANG

Two-group decodable distributed differential space-time code for wireless relay networks based on SAST codes

Obada ABDALLAH, Ammar HUDROUSS ABU

MRI image enhancement using Biot Savart law at 3 tesla

Ferda Nur ALPASLAN, Yunus Emre ESİN