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New PID Tuning Rule Using ITAE Criteria
Ala Eldin Abdallah Awouda, Rosbi Bin Mamat
Pages - 597 - 608     |    Revised - 30-12-2009     |    Published - 31-01-2010
Volume - 3   Issue - 6    |    Publication Date - January 2010  Table of Contents
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KEYWORDS
PID, Grey prediction algorithm, Tuning rule
ABSTRACT
This paper discusses an approach to tune the PID controller parameters using the optimization method. The method involves analytically calculating the gain of the controller (Kc), integral time (Ti) and the derivative time (Td) for PID controlled systems whose process is modeled in first order lag plus time delay (FOLPD) form. A mat lab program is used to find the optimum value of the PID controller parameters which can achieve most of the systems requirements such as reducing the overshoot, maintain a high system response, achieve a good load disturbances rejection and maintain robustness. The objective function is selected so as to minimize the integral of Time Absolute Error (ITAE) performance index. A comparison between the proposed tuning rules and the traditional tuning rules is done through the Matlab software to show the efficiency of the new tuning rule.
CITED BY (19)  
1 Zhuoping, cold stroke, bear Lu, Feng Yuan, & minutes and seconds. (2016). Distributed drive an electric car to improve handling direct yaw moment control. Chinese Journal of Mechanical Engineering, 1.
2 Yusoff, T. A. F. K., Atan, M. F., Rahman, N. A., Salleh, S. F., & Wahab, N. A. (2015). Optimization of PID Tuning Using Genetic Algorithm. Journal of Applied Science & Process Engineering, 2(2).
3 Zhou, L., Li, J., Li, Z., & Fu, L. (2015). High Speed Motion Control System With Predictive Observer and Its Parameters Optimization. Appl. Math, 9(2), 777-787.
4 Admuthe, S., & Chile, R. (2015). Neuro–fuzzy–based hybrid controller for stable temperature of liquid in heat exchanger. International Journal of Computational Science and Engineering, 10(1-2), 220-230.
5 Yin Shuai, Li Caiqin, & seed Yao Yao. (2014). ITAE used in brushless DC motor PID parameter optimization. Micro-motor, 42 (9), 76-79.
6 Zong Xuejun, Sun Ang, Yangzhong Jun Ho Kan, & Chen Rui. (2014). Based on GA ESR furnaces Fuzzy PID Control. Manufacturing Automation, 36 (10), 127-130.
7 Kulbis, M. (2014). PID Controller and It’s Parameters Tuning for Aircraft Stable Flight Controll. Aviation technologies, 2(2), 3-6.
8 Gochhayat, R. A. S. H. M. I. T. A. (2014). PSO based PI controller for load frequency control of interconnected power systems (Doctoral dissertation).
9 Abbasi, E., Mahjoob, M., & Shafiekhani, A. (2014, October). Attitude control using an extended calssifier system algorithm for offline auto-tuning of a PID controller. In Robotics and Mechatronics (ICRoM), 2014 Second RSI/ISM International Conference on (pp. 930-935). IEEE.
10 Rodríguez-Zalapa, O., Hernández-Zavala, A., & Huerta-Ruelas, J. A. (2014). Fuzzy controller for a pneumatic positioning nonlinear system. In Nature-Inspired Computation and Machine Learning (pp. 370-381). Springer International Publishing.
11 Korsane, D. T., Yadav, V., & Raut, K. H. (2014). Pid tuning rules for first order plus time delay system. Int. Journal of Innovative Research in Electrical, Instrumentation and Control Engineering, 2(1), 582-586.
12 Hambali, N., Janin, Z., Samsudin, N. S. M., & Ishak, A. A. (2013, November). Process controllability for air temperature oven system using open-loop Reformulated Tangent Method. In Smart Instrumentation, Measurement and Applications (ICSIMA), 2013 IEEE International Conference on (pp. 1-6). IEEE.
13 Lolu, S. J., Bhatti, S. S., & Sharma, R. K. Approaches for tuning of PID Controller.
14 da Silva, L. E. R., & Paglione, P. (2013). design of three dimensional automatic flight system for climb, cruise and descent.
15 Tang, Z. M., & Xie, D. (2013, October). Tuning of Ship Heading Controller Based on Minimum Rate of Energy Dissipation and Multi-Attribute Decision Making Method. In Advanced Materials Research (Vol. 765, pp. 1951-1955).
16 Admuthe, S., & Chile, R. H. Fuzzy and ANN Controller for Stable Temperature of Liquid in Heat Exchanger.
17 Bhatia, B. (1956). An Approach to design Proportional Integral Derivative Controller using Internal Model Control for Optimisation of proposed Process Control (Doctoral dissertation, Department of Electrical and Instrumentation Engineering, Thapar University, Patiala).
18 Mohammadi, M., Javidtash, N., & Parhoodeh, M. Stability Enhancement of DFIG Wind Turbines by Parameters Tuning of Shunt Connected Facts Devices Using ITAE index. International Journal on Technical and Physical Problems of Engineering (IJTPE), (14), 82-88.
19 Curcio, S., Calabrò, V., & Iorio, G. (2011). Design and tuning of feedback controllers: effects on proteins ultrafiltration process modeled by a hybrid system. Desalination and Water Treatment, 34(1-3), 295-303.
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1 C.-Y. Kao and B. Lincoln, “Simple stability criteria for systems with time-varying delays,” Automatica, vol. 40, pp. 1429-1434, Aug. 2004.
2 Dingyu Xue, YangQuan Chen. Derek P. Atherton. "Linear Feedback Control" Society for Industrial and Applied Mathematics. 2007.
3 Guillermo J. Silva, Aniruddha Datta. S. P. Bhattacharyya. “PID Controllers for Time-Delay Systems”. Boston. ISBN 0-8176-4266-8.2005.
4 Hang, C.C, K.J.Astrom and W.K. Ho, “refinement of Ziegler-Nichols Tuning Formula”, IEE Proc. Pt. D, Vol. 138, pp. 111-118 .1991.
5 J. G. Ziegler and N. B. Nichols, “Optimum Settings for Automatic Controllers,” Trans. ASME, Vol. 64, pp. 759-768, 1942.
6 K. J. Astrom and T. Hagglund, “The Future of PID Control,” IFAC J. Control Engineering Practice, Vol. 9, pp. 1163-1175, 2001.
7 K.J.Astrom, T.Hagglund, “Revisiting the Ziegler–Nichols step response method for PID control”, Journal of Process Control 14,635–650, Department of Automatic Control, Lund Institute of Technology. 2004.
8 Lasse M. Eriksson and Mikael Johansson, “PID Controller Tuning Rules for Varying Time-Delay Systems”, Proceedings of the 2007 American Control Conference ,New York City, USA, July 11- 13, 2007.
9 L. Eriksson and T. Oksanen, ”PID Controller Tuning for Integrating Processes: Analysis and New Design Approach,” In Proc. Fourth International Symposium on Mechatronics and its Applications, harjah, UAE, Mar. 2007
10 Panagopoulos H., Astrom K. J., Hagglund T., “Design of PID Controllers Based on Constrained Optimisation”, IEE Proc., Control Theory Appl., Vol. 149, No. 1. – P. 32–40. 2002.
11 P. Cominos and N. Munro, “PID Controllers: Recent Tuning Methods and Design to Specification,” IEE Proc. D, Control Theory and Applications, Vol. 149, No. 1, pp. 46-53, 2002.
Mr. Ala Eldin Abdallah Awouda
UTM - Malaysia
ala_awouda@yahoo.com
Dr. Rosbi Bin Mamat
UTM - Malaysia