Feedforward model-inverse position control of three-stage servo-valve using zero magnitude error tracking control

Three-stage servo-valves are popularly used in hydraulic systems that require large flow rate and high pressure. For a proper control of flow direction and flow rate fed into a hydraulic actuator, securing a proper position control bandwidth is a critical task for the servo-valve. In this paper, a set of popular control methods are systematically studied and a control method is selected. It is proven that the feedforward model-inverse control is the most effective method in terms of the control bandwidth. In the present work, the feedforward closed-loop architecture is adopted and the closed-loop system is estimated in a linear discrete-time transfer function by recursive least squares method. On recognizing a nonminimum phase zero problem, this work implements the zero magnitude error tracking control, an approximate model-inverse technique, in order to overcome the problem. As a result, the effectiveness of the proposed feedforward model-inverse position control strategy is verified.

[1]  Enrico Canuto,et al.  Position control of proportional electro-hydraulic valves: An Embedded Model Control solution , 2015, 2015 34th Chinese Control Conference (CCC).

[2]  Enrico S. Canuto,et al.  Proportional electro-hydraulic valves: from analogue to digital control , 2014, Int. J. Mechatronics Autom..

[3]  Qi Su,et al.  Modeling and dynamic characteristics analysis on a three-stage fast-response and large-flow directional valve , 2014 .

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

[5]  Mohieddine Jelali,et al.  Hydraulic Servo-systems: Modelling, Identification and Control , 2012 .

[6]  Gang Shen,et al.  Feed-forward inverse control for transient waveform replication on electro-hydraulic shaking table , 2012 .

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

[8]  Zhengmao Ye,et al.  Tracking control of an electro-hydraulic shaking table system using a combined feedforward inverse model and adaptive inverse control for real-time testing , 2011 .

[9]  Feng Ding,et al.  Input-output data filtering based recursive least squares identification for CARARMA systems , 2010, Digit. Signal Process..

[10]  Lucy Y. Pao,et al.  Nonminimum phase adaptive inverse control for settle performance applications , 2010 .

[11]  Li Jun,et al.  Research on Embedded Electro-hydraulic Proportional Valve Controller , 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

[12]  Lucy Y. Pao,et al.  Nonminimum Phase Dynamic Inversion for Settle Time Applications , 2009, IEEE Transactions on Control Systems Technology.

[13]  Butterworth Jeffrey Austin,et al.  A comparison of control architectures for atomic force microscopes , 2009 .

[14]  Qitao Huang,et al.  Analysis of Performance Effect Factors of Three-Stage Electro-Hydraulic Servo Valve , 2009, J. Comput..

[15]  L.Y. Pao,et al.  The effect of nonminimum-phase zero locations on the performance of feedforward model-inverse control techniques in discrete-time systems , 2008, 2008 American Control Conference.

[16]  Bernard Widrow,et al.  Adaptive Inverse Control: A Signal Processing Approach , 2007 .

[17]  L.Y. Pao,et al.  Model Inversion Architectures for Settle Time Applications with Uncertainty , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[18]  M. Steinbuch,et al.  Model-based feedforward for motion systems , 2003, Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003..

[19]  J. De Cuyper,et al.  State Space Modeling and Stable Dynamic Inversion for Trajectory Tracking on an Industrial Seat Test Rig , 2002 .

[20]  Lorenzo Marconi,et al.  A solution technique for almost perfect tracking of non-minimum-phase, discrete-time linear systems , 2001 .

[21]  Tsu-Chin Tsao,et al.  A linearized electrohydraulic servovalve model for valve dynamics sensitivity analysis and control system design , 2000 .

[22]  G. Van Schothorst,et al.  Modelling of long-stroke hydraulic servo-systems for flight simulator motion control and system design , 1997 .

[23]  Steve Rogers,et al.  Adaptive Filter Theory , 1996 .

[24]  Michel Verhaegen,et al.  Identification of the deterministic part of MIMO state space models given in innovations form from input-output data , 1994, Autom..

[25]  B. Widrow,et al.  Adaptive inverse control , 1987, Proceedings of 8th IEEE International Symposium on Intelligent Control.

[26]  Masayoshi Tomizuka,et al.  Zero Phase Error Tracking Algorithm for Digital Control , 1987 .

[27]  Karl Johan Åström,et al.  Zeros of sampled systems , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[28]  權寧住,et al.  Mechatronics , 2019, CIRP Encyclopedia of Production Engineering.

[29]  Andreas Ritter,et al.  Hydraulic Control Systems , 2016 .

[30]  Yvonne Schuhmacher,et al.  Feedback Control Of Dynamic Systems , 2016 .

[31]  G. Kai,et al.  Characteristics and Control Technology Research of Three-stage Electro-hydraulic Servo Valve , 2015 .

[32]  Daniel Y. Abramovitch,et al.  Fitting Discrete-Time Models to Frequency Responses for Systems With Transport Delay , 2011 .

[33]  何景峰,et al.  Improving Bandwidth of Three-Stage Electro-Hydraulic Servo Valve Based on Speed-Feedback , 2009 .

[34]  Dr.-Ing. Christoph Boes The advantages of new proportional and servo valves with integrated digital electronics , 2006 .

[35]  Radojka Krneta,et al.  Recursive least squares method in parameters identification of DC motors models , 2005 .

[36]  J.T. Wen,et al.  An experimental study of a high performance motion control system , 2004, Proceedings of the 2004 American Control Conference.

[37]  D. Miu Mechatronics : electromechanics and contromechanics , 1993 .

[38]  Donaldson McCloy,et al.  Control of fluid power : analysis and design , 1980 .

[39]  D. E. Turnbull,et al.  Fluid power engineering , 1976 .