Robust force control with a feed-forward inverse model controller for electro-hydraulic control loading systems of flight simulators

Abstract A hybrid control strategy for an electro-hydraulic control loading system (EHCLS) of a flight simulator in the presence of a control mechanism kinetic parameter perturbation is proposed to improve the force tracking accuracy and guarantee robust stability of the EHCLS system. A double-loop model of the EHCLS, including the control mechanism and the hydraulic mechanism, is established and analyzed from the force-displacement impedance perspective. A force closed-loop parameter model of the EHCLS is identified by a recursive-least-squares (RLS) algorithm and its inverse model is designed using a zero phase error compensation technology to expand the frequency bandwidth of the force closed-loop system of the EHCLS. A μ theory of robust control is employed to design a stable controller for enhancing robust stability of the EHCLS in the presence of uncertainties of the inner loop, the control mechanism and the high frequency disturbance force. Simulation and experimental results show that the proposed hybrid control approach can greatly improve the control performance of the EHCLS by expanding the frequency bandwidth of the force closed-loop system and enhancing stability of the EHCLS, which can decrease displacement output response error of the EHCLS from 10.34% to 3.1%.

[1]  Antônio O. Dourado,et al.  New concept of dynamic flight simulator, Part I , 2013 .

[2]  Andrew Plummer Feedback linearization for acceleration control of electrohydraulic actuators , 1997 .

[3]  Daniel Y. Abramovitch,et al.  Analysis and comparison of three discrete-time feedforward model-inverse control techniques for nonminimum-phase systems☆ , 2012 .

[4]  Tian Li,et al.  Flight control iron bird based on passive electric-hydraulic servo loading system , 2011, Int. J. Intell. Comput. Cybern..

[5]  Shenghai Hu,et al.  Adaline neural network-based adaptive inverse control for an electro-hydraulic servo system , 2011 .

[6]  Xingjian Wang,et al.  Adaptive robust torque control of electric load simulator with strong position coupling disturbance , 2013 .

[7]  Junwei Han,et al.  Modeling and controller design of a shaking table in an active structural control system , 2008 .

[8]  D. J. Xuan,et al.  Robust control application for a three-axis road simulator , 2011 .

[9]  Li Yunhua,et al.  Development of Hybrid Control of Electrohydraulic Torque Load Simulator , 2002 .

[10]  Zongxia Jiao,et al.  An experimental study of the dual-loop control of electro-hydraulic load simulator (EHLS) , 2013 .

[11]  Bin Yao,et al.  Nonlinear adaptive robust backstepping force control of hydraulic load simulator: Theory and experiments , 2014 .

[12]  M. V. Vaidyan,et al.  An FPGA-based parallel architecture for on-line parameter estimation using the RLS identification algorithm , 2014, Microprocess. Microsystems.

[13]  Raimondo Betti,et al.  Modal parameter based structural identification using input–output data: Minimal instrumentation and global identifiability issues , 2014 .

[14]  Bo Yang,et al.  Robust Hybrid Control Based on PD and Novel CMAC With Improved Architecture and Learning Scheme for Electric Load Simulator , 2014, IEEE Transactions on Industrial Electronics.

[15]  Jean-Philippe Noël,et al.  Subspace-based identification of a nonlinear spacecraft in the time and frequency domains , 2014 .

[16]  Dong-Ji Xuan,et al.  Design of a forced control system for a dynamic road simulator using QFT , 2008 .

[17]  Wei Xiong,et al.  Multi-input multi-output random vibration control of a multi-axis electro-hydraulic shaking table , 2015 .

[18]  Zhang Lei,et al.  Adaptive feed-forward compensation for hybrid control with acceleration time waveform replication on electro-hydraulic shaking table , 2013 .

[19]  Kursat Cagiltay,et al.  A novel classification method for driving simulators based on existing flight simulator classification standards , 2014 .

[20]  Arno Gerretsen Comparison of Position-loop, Velocity-loop and Force-loop based Control Loading Architectures , 2005 .

[21]  Zhencai Zhu,et al.  Real-time electro-hydraulic hybrid system for structural testing subjected to vibration and force loading , 2016 .

[22]  Sung Kyung Hong,et al.  Force control system design for aerodynamic load simulator , 2002 .

[23]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[24]  Qitao Huang,et al.  Decoupling control for spatial six-degree-of-freedom electro-hydraulic parallel robot , 2012 .

[25]  Kyoung Kwan Ahn,et al.  Self-tuning of quantitative feedback theory for force control of an electro-hydraulic test machine , 2009 .

[26]  Igor Skrjanc,et al.  Feedforward control of a class of hybrid systems using an inverse model , 2011, Math. Comput. Simul..

[27]  Nariman Sepehri,et al.  Electrohydraulic force control design of a hardware-in-the-loop load emulator using a nonlinear QFT technique , 2012 .

[28]  Nariman Sepehri,et al.  Design and experimental evaluation of a robust force controller for an electro-hydraulic actuator via quantitative feedback theory , 2000 .

[29]  Jouni Mattila,et al.  Robust control of Cassette Multi-functional Mover for ITER remote handling tasks , 2011 .

[30]  Xiaodong Liu,et al.  Research of Compound Controller for Flight Simulator with Disturbance Observer , 2011 .

[31]  Jihai Jiang,et al.  A New Electric Hydraulic Actuator Adopted the Variable Displacement Pump , 2016 .

[32]  Zongxia Jiao,et al.  The Velocity Synchronizing Control on the Electro-Hydraulic Load Simulator , 2004 .

[33]  Kazuhisa Ito,et al.  Application of simple adaptive control to water hydraulic servo cylinder system , 2010 .