A Study on Autotuning Controller for Servo System

Abstract

This paper introduces a PID Autotuning controller using intelligent neural network control based on relay feedback approach. The proposed controller takes advantage of offline learning, in which the initial knowledge of control system is recognized by the relay feedback approach, and the online learning capability of neural network controller helps the control system respond quickly to the dynamics changes. The robustness and motion tracking performance are validated through simulation results.

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Giap, N. , Shin, J. and Kim, W. (2014) A Study on Autotuning Controller for Servo System. Intelligent Control and Automation, 5, 102-110. doi: 10.4236/ica.2014.53012.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Desborough, L. and Miller, R. (2002) Increasing Customer Value of Industrial Control Performance Monitoring— Honeywell Experience. In: Rawlings, J.B., Ogunnaike, B.A. and Eaton, J.W., Eds., 6th International Conference on Chemical Process Control, AIChE Symp., Series 326, AIChE, New York, 172-192.
[2] Levy, S., Korotkin, S., Hadad, K., Ellenbogen, A., Arad, M. and Kadmon, Y. (2012) PID Autotuning Using Relay Feedback. IEEE 27th Convention of Electrical & Electronics Engineers in Israel (IEEEI), Eilat, 14-17 November 2012, 1-4.
[3] Tang, W., Wang, Z.F., Zhang, J.G. and Wang, M.X. (2010) A Relay Feedback Based Autotuning PID Controller and Its Application to Pulp Consistency Control. 29th Chinese Control Conference (CCC), Beijing, 29-31 July 2010, 3406-3410.
[4] Tang, W., Shi, S.J. and Wang, M.X. (2003) Relay Feedback Based Autotuning PID Control of Paper Basis Weight in Paper Making Process. Journal of Systems Engineering and Electronics, 14, 63-69.
[5] Majhi, S. and Atherton, D.P. (1999) Autotuning and Controller Design for Processes with Small Time Delays. IEE Proceedings of Control Theory and Applications, 146, 415-425.
[6] Zhu, A.-D., Xing, J.-G. and Zhao, W.-M. (2010) An Autotuning PID Control Algorithm for Sensorless DC Motors. International Conference on Electrical and Control Engineering (ICECE), Wuhan, 25-27 June 2010, 369-372.
[7] Vrana, S. and Sulc, B. (2011) PID Controller Autotuning Based on Nonlinear Tuning Rules. 12th International Carpathian Control Conference (ICCC), Velke Karlovice, 25-28 May 2011, 443-446.
[8] Alavi, S.M.S., Akbarzadeh, A. and Farughian, A. (2011) Auto-Tuning Smith-Predictive Control of Three-Tanks System Based on Model Reference Adaptive System. 2nd International Conference on Control, Instrumentation and Automation (ICCIA), Shiraz, 27-29 December 2011, 711-714.
[9] Toledo, C.F.M., Lima, J.M.G. and da Silva Arantes, M. (2012) A Multi-Population Genetic Algorithm Approach for PID Controller Auto-Tuning. IEEE 17th Conference on Emerging Technologies & Factory Automation (ETFA), Krakow, 17-21 September 2012, 1-8.
[10] Alavije, H.S. and Akhbari, M. (2013) Auto-Tuning PID Controller for Low Cost Fault Tolerant Motor Drive of Electric Vehicle. 4th Power Electronics, Drive Systems and Technologies Conference (PEDSTC), Tehran, 13-14 February 2013, 38-43.
[11] Wu, Y.-J., Jung, Y.-G. and Lim, Y.-C. (2012) Auto-Tuning Fuzzy PD Control Scheme for Output Voltage Control of Three-Phase Z-Source Inverter. IEEE International Symposium on Industrial Electronics (ISIE), Hangzhou, 28-31 May 2012, 222-227.
[12] Blondin, M.-J. and Sicard, P. (2013) PID Controllers and Anti-Windup Systems Tuning Using Ant Colony Optimization. 15th European Conference on Power Electronics and Applications (EPE), Lille, 2-6 September 2013, 1-10.
[13] Crowe, J. and Johnson, M.A. (1999) A New Nonparametric Identification Procedure for Online Controller Tuning. Proceedings of the 1999 American Control Conference, 5, 3337-3341.
[14] Cheon, Y. Lee, D., Lee, I.-B. and Sung, S.W. (2013) A New PID Auto-Tuning Strategy with Operational Optimization for MCFC Systems. 9th Asian Control Conference (ASCC), Istanbul, 23-26 June 2013, 1-6.

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