Volume 2, Issue 1, June 2018, Pages: 21-27
Received: Jun. 4, 2018;
Accepted: Jun. 21, 2018;
Published: Jul. 12, 2018
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Bahaaeldin Gamal Abdelaty, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
Ahmed Hassan Ahmed, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
Ahmed Nasr Ouda, Electrical Engineering Department, Technical Research Center, Cairo, Egypt
Nowadays, many of control systems need a flexible controller in order to achieve the operation requirement precisely and rapidly to overcome nonlinearity, uncertainty, digital implementation challenges, and achieving at the same time both of control system objectives of load disturbance rejection and set point following. This paper is aimed to design and analysis one of the most common industrial controllers, set point weighting 2DOF PID controller, to get this target with simplicity and effectiveness. The paper included the main problem description, structure of the proposed controller, effectiveness of controller parameters variations, the methodology of effective tuning method, and an example of the proposed controller on control system platform. The results reveal the accurate and effective operational performance of the proposed controller to obtain the control system objectives.
Bahaaeldin Gamal Abdelaty,
Ahmed Hassan Ahmed,
Ahmed Nasr Ouda,
Fixed Set Point Weighting 2DOF PID Controller for Control Processes, Engineering Mathematics.
Vol. 2, No. 1,
2018, pp. 21-27.
Alfaro, V. M. and R. Vilanova, Control System Evaluation Metrics, in Model-Reference Robust Tuning of PID Controllers. 2016, Springer. p. 21-28.
Ang, K. H., G. Chong, and Y. Li, PID control system analysis, design, and technology. IEEE transactions on control systems technology, 2005. 13(4): p. 559-576.
Martelli, G., Comments on "New results on the synthesis of PID controllers". Automatic Control, IEEE Transactions on, 2005. 50(9): p. 1468-1469.
Araki, M. and H. Taguchi, Two-degree-of-freedom PID controllers. International Journal of Control Automation and Systems, 2003. 1: p. 401-411.
Araki, M. and H. Taguchi, Two-degree-of-freedom PID controllers. International Journal of Control, Automation, and Systems, 2003. 1(4): p. 401-411.
Åström, K. J., et al., Towards intelligent PID control. Automatica, 1992. 28(1): p. 1-9.
Ho, M.-T. and C.-Y. Lin, PID controller design for robust performance. Automatic Control, IEEE Transactions on, 2003. 48(8): p. 1404-1409.
Åström, K. J. and T. Hägglund, The future of PID control. Control engineering practice, 2001. 9(11): p. 1163-1175.
Bingi, K., et al., Fuzzy Gain Scheduled Set point Weighted PID Controller for Unstable CSTR Systems. parameters, 2017. 500: p. 6.
Mudi, R. K. and C. Dey, Performance improvement of PI controllers through dynamic set point weighting. ISA transactions, 2011. 50(2): p. 220-230.
Chen, Y. and D. P. Atherton, Linear feedback control: analysis and design with MATLAB. Vol. 14. 2007: Siam.
Astrom, K. and T. Hagglund, Advanced PID Control, ISA–The Instrumentation. System, and Automation Society, 2006.
Dey, C., R. Mudi, and T. Lee. A PID controller with dynamic set point weighting. in Industrial Technology, 2006. ICIT 2006. IEEE International Conference on. 2006. IEEE.
Visioli, A., Practical PID control. 2006: Springer Science & Business Media.
Mitra, P., C. Dey, and R. K. Mudi, DYNAMIC SET POINT WEIGHTING FOR FUZZY PID CONTROLLER. Control and Intelligent Systems, 2017. 45(3).
Singh, A. K. and A. Pandey, Intelligent PI Controller for Speed Control of SEDM using MATLAB. International Journal of Engineering Science and Innovative Technology (IJESIT), 2013. 2(1).
Messner, W. C., D. M. Tilbury, and A. P. R. Hill, Control Tutorials for MATLAB® and Simulink®. 1999: Addison-Wesley.
Salem, F. A., Controllers and Control Algorithms: Selection and Time Domain Design Techniques Applied in Mechatronics Systems Design (Review and Research) Part I. International Journal of Engineering Sciences, 2013. 2(5): p. 160-190.
Tavakoli, S. and P. Fleming. Optimal tuning of PI controllers for first order plus dead time/long dead time models using dimensional analysis. in European Control Conference (ECC), 2003. 2003. IEEE.
Ho, M. T. and H. S. Wang, PID controller design with guaranteed gain and phase margins. Asian Journal of Control, 2003. 5(3): p. 374-381.
Mizumoto, I., H. Tanaka, and Z. Iwai. 2 DOF adaptive PID control with a parallel feedforward compensator for nonlinear systems. in Networking, Sensing and Control, 2009. ICNSC'09. International Conference on. 2009. IEEE.
Alfaro, V., R. Vilanova, and O. Arrieta, Robust tuning of Two-Degree-of-Freedom (2-DoF) PI/PID based cascade control systems. Journal of process control, 2009. 19(10): p. 1658-1670.
Leva, A. and A. Colombo. Method for optimising set point weights in ISA-PID autotuners. in Control Theory and Applications, IEE Proceedings-. 1999. IET.
Esch, J., et al. Control performance index minimal tuning of set point weighted PID-Controllers for LTI plants based on convex optimisation. in Control & Automation (MED), 2013 21st Mediterranean Conference on. 2013. IEEE.
Salem, F. A. and A. A. Rashed, PID Controllers and Algorithms: Selection and Design Techniques Applied in Mechatronics Systems Design-Part II. International Journal of Engineering Sciences, 2013. 2(5): p. 191-203.
Guide, G. S., Control System Toolbox™. 2000.
Prashanti, G. and M. Chidambaram, Set point weighted PID controllers for unstable systems. Journal of the Franklin Institute, 2000. 337(2): p. 201-215.
Vilanova, R. and O. Arrieta, PID design for improved disturbance attenuation: min max Sensitivity matching approach. International Journal of Applied Mathematics, 2007. 37(1): p. 1-6.
Tewari, A., Advanced control of aircraft, spacecraft and rockets. Vol. 37. 2011: John Wiley & Sons.
Works, M., SIMULINK: Dynamic System Simulation for MATLAB, Ver. 2. The Math Works, Inc., USA, 1997.
Gamal, B. E.-d., et al., Advanced Fast Disturbance Rejection PI Controller for DC Motor Position Control.
Sen, K., et al., Fuzzy Rule-Based Set Point Weighting for PID Controller, in Advances in Communication, Devices and Networking. 2018, Springer. p. 797-806.
Bianchi, F. D., R. J. Mantz, and C. F. Christiansen, Multivariable PID control with set point weighting via BMI optimisation. Automatica, 2008. 44(2): p. 472-478.