A Compensation Approach of Dead-Zone Nonlinearity in Dual-Motor Driving Servo System


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Aiming at the control problem of dual-motor driving servo system with dead-zone nonlinearity,we proposed the model of system linear part.We used describing function methods to analyze dead-zone nonlinearity characteristic.The simulation experiments of nonlinear system with dead-zone were carried out.The results of simulation show that system represents the phenomenon of zero deflection with step response,error curve exists peak at commutation time with sine response.In the end,we used compensation control strategy to weaken the impact of dead-zone nonlinearity on dual-motor driving servo system.Finally the simulation illustrates the effectiveness of the proposed compensation control strategy.



Edited by:

Liangzhong Jiang




H. B. Zhao and Y. G. Zhu, "A Compensation Approach of Dead-Zone Nonlinearity in Dual-Motor Driving Servo System", Applied Mechanics and Materials, Vol. 389, pp. 454-459, 2013

Online since:

August 2013




[1] H.B. Jiang L.P. Zhang J.J. Yu. Consensus of multi-agent systems with dead-zone nonlinearity [J], , International Journal of Control, Automation and Systems, v10, n4, pp.824-829, (2012).

DOI: https://doi.org/10.1007/s12555-012-0419-0

[2] J. Guo J.J. Ji,F. Yan. Adaptive robust control for servo system with friction and input dead-zone nonlinearity, Proceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012, pp.993-997, (2012).

[3] Z.Q. Zhang J.W. Lu,J.G. Li. Exponential synchronization of Genesio-Tesi chaotic systems with partially known uncertainties and completely unknown dead-zone nonlinearity[J], Journal of the Franklin Institute, v350, n2, pp.347-357, (2013).

DOI: https://doi.org/10.1016/j.jfranklin.2012.11.011

[4] Y.W. Tseng Y.N. Wang. Model following variable structure control design in reciprocal state space framework with dead-zone nonlinearity and lumped uncertainty, 2012 7th IEEE Conference on Industrial Electronics and Applications, pp.1627-1632, (2012).

DOI: https://doi.org/10.1109/iciea.2012.6360986

[5] L. Liu Y.J. Liu. Adaptive nn control of nonlinear systems with dead-zone input[J], , ICIC Express Letters, v7, n3B, pp.1127-1131, (2013).

[6] C.C. Chiang C.C. Liu. Output feedback tracking control of uncertain nonlinear systems with non-symmetric dead-zone input, IEEE International Conference on Fuzzy Systems, FUZZ (2012).

DOI: https://doi.org/10.1109/fuzz-ieee.2012.6251296

[7] N. Zhou Y.J. Liu S.C. Tong. Adaptive fuzzy output feedback control of uncertain nonlinear systems with nonsymmetric dead-zone input[J], Nonlinear Dynamics, v63, n4, pp.771-778, (2011).

DOI: https://doi.org/10.1007/s11071-010-9836-x

[8] C.X. Hu,B. Yao Q.F. Wang. Performance-oriented adaptive robust control of a class of nonlinear systems preceded by unknown dead zone with comparative experimental results[J], IEEE/ASME Transactions on Mechatronics, v18, n1, pp.178-189, (2013).

DOI: https://doi.org/10.1109/tmech.2011.2162633

[9] X.H. Lv,X.M. Ren. Identification of Hammerstein systems with asymmetric dead-zone nonlinea- rities using canonical parameterized model[J], Journal of Control Theory and Applications, v10, n4, pp.511-516, (2012).

DOI: https://doi.org/10.1007/s11768-012-0175-y

[10] J. Chen X.P. Wang R.F. Ding. Gradient based estimation algorithm for Hammerstein systems with saturation and dead-zone nonlinearities[J], Applied Mathematical Modelling, v36, n1, pp.238-243, (2012).

DOI: https://doi.org/10.1016/j.apm.2011.05.049

[11] S.C. Tong Y.M. Li. Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs[J], IEEE Transactions on Fuzzy Systems, v21, n1, pp.134-146, (2013).

DOI: https://doi.org/10.1109/tfuzz.2012.2204065

[12] Y.J. Liu,L. Liu S.C. Tong. Adaptive neural network tracking design for a class of uncertain nonlinear discrete-time systems with dead-zone[J], Science China Information Sciences, pp.1-12, 2013(Article in Press).

DOI: https://doi.org/10.1007/s11432-012-4779-0

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