The electro-hydraulic control loading system (EHCLS) of a flight simulator is mainly used to simulate the force feel of flying a real airplane. A double-loop model, including control and hydraulic mechanism of the EHCLS, is established and its force–displacement impedance is analysed to evaluate force tracking performances and its stability. An approximated feed-forward inverse model controller is designed using a zero phase error compensation method for expanding the frequency bandwidth of the inner loop because the identified force closed-loop model is a nonminimum phase system and its direct inverse model is unstable. Modelling error between the designed feed-forward inverse model and the actual plant is discussed and a damping compensator is presented to increase stability of the EHCLS. Theoretical analysis, simulation and experimental results show that the control methods presented are feasible and can effectively improve force feel fidelity and stability of the EHCLS.
AhnKKTruongDQThanhTQet al. (2008) Online self-tuning fuzzy proportional-integral- derivative control for hydraulic load simulator. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering222(2): 81–95.
CuyperJDVerhaegenMSweversJ (2003) Off-line feed-forward and H∞ feedback control on a vibration rig. Control Engineering Practice11: 129–140.
4.
DavidFTJohnSPAmitS (1999) Feedback design for robust tracking and robust stiffness in flight control actuators using a modified QFT technique. International Journal of Control72(16): 1480–1497.
5.
KarpenkoMSepehriN (2012) Electrohydraulic force control design of a hardware-in-the-loop load emulator using a nonlinear QFT technique. Control Engineering Practice20: 598–609.
6.
KimJWXuanDJKimY-B (2008) Design of a forced control system for a dynamic road simulator using QFT. International Journal of Automotive Technology9(1): 37–43.
7.
LeeSKParkeCMinKW (2007) Real-time hybrid shaking table testing method for the performance evaluation of a tuned liquid damper controlling seismic response of building structures. Journal of Sound and Vibration302: 596–612.
8.
LiYH (2002) Development of hybrid control of electrohydraulic torque load simulator. Journal of Dynamic Systems, Measurement, and Control124(3): 415–419.
9.
NamYHongSK (2002) Force control system design for aerodynamic load simulator. Control Engineering Practice10(5): 549–558.
10.
NiksefatNSepehriN (2000) Design and experimental evaluation of a robust force controller for an electro-hydraulic actuator via quantitative feedback theory. Control Engineering Practice8: 1335–1345.
11.
PlummerAR (1997) Feedback linearization for acceleration control of electrohydraulic actuators. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering3: 139–169.
12.
RigneyBPLucyYPLawrenceDA (2010). Nonminimum phase adaptive inverse control for settle performance applications. Mechatronics2010; 20: 35–44.
13.
SanadaK (2002) A method of designing a robust force controller of a water-hydraulic servo system. Proceedings of the Institution of Mechanical Engineers, Part I, Journal of Systems and Control Engineering216: 135–141.
14.
ShenGLvGMYeZM (2011) Implementation of electrohydraulic shaking table controllers with a combined adaptive inverse control and minimal control synthesis algorithm. IET Proceedings - Control Theory and Applications5(13): 1471–1483.
15.
ShenGZhuZCHanJWet al. (2013) Adaptive feedforward compensation for hybrid control with acceleration time waveform replication on electro-hydraulic shaking table. Control Engineering Practice21(8): 1128–1142.
16.
ShenGZhuZCLiXet al (2016). Real-time electro-hydraulic hybrid system for structural testing subjected to vibration and force loading. Mechatronics33: 49–70.
17.
SongXYWangYSunZX (2014). Robust stabilizer design for linear time-varying internal model based output regulation and its application to an electrohydraulic system. Automatica50: 1128–1134.
18.
TruongDQAhnKK (2009) Force control for hydraulic load simulator using self-tuning grey predictor - fuzzy PID. Mechatronics19(2): 233–246.
19.
VaesDEngelenKAnthonisJ (2007) Multivariable feedback design to improve tracking performance on tractor vibration test rig. Mechanical Systems and Signal Processing21: 1051–1075.
20.
WangCWJiaoZXQuanL (2015) Nonlinear robust dual-loop control for electro-hydraulic load simulator. ISA Transactions59: 280–289.
21.
WangSKWangJZ (2012) A new kind of hydraulic proportional loading method for actuator testing based on the relief valve controlled cylinder. Transactions of the Institute of Measurement and Control35(2): 157–165.
22.
XuYHuaHXHanJW (2008) Modeling and controller design of a shaking table in an active structural control system. Mechanical Systems and Signal Processing2(3): 1917–1923.
23.
YangCFHuangQTHanJW (2012) Decoupling control for spatial six-degree-of-freedom electro-hydraulic parallel robot. Robotics and Computer-Integrated Manufacturing28: 14–23.
24.
YaoJJDiDTJiangGLet al. (2013a). Identification of acceleration harmonic for an electro-hydraulic servo shaking table based on Kalman filter. Transactions of the Institute of Measurement and Control35(8): 986–996.
25.
YaoJYJiaoZXHanSS (2013b) Friction compensation for low velocity control of hydraulic flight motion simulator: A simple adaptive robust approach. Chinese Journal of Aeronautics26(3): 814–822.
26.
YaoJYJiaoZXMaDWet al. (2014). High-accuracy tracking control of hydraulic rotary actuators with modeling uncertainties. IEEE/ASME Transactions on Mechatronics19: 633–641.
27.
ZhaoJSShenGHanJW (2012) Feel force control incorporating velocity feed-forward and inverse model observer for control loading system of flight simulator. Proc IMechE Part I-Journal of Systems and Control Engineering227(2): 161–175.
