Comparative Study of Parallel and Cascade Configuration Supervisory Predictive Controller for Water Level Control System with Delay Time
The delay time on a water level control system was inconvenient to be eliminated. This problem was occurred from natural process while the water was transferred by pump via long pipe. Predictive control is a popular technique to control slow response systems with delay time. This controller can applied in two level that are regulatory and supervisory. In this research, comparison between PI and predictive controller in regulatory and supervisory level with cascade and parallel configuration will analyze. Implementation of this control method will be applied to level control systems PCT-100. Predictive controller can eliminate the impact of delay time and improve system performance with faster response. Predictive control in supervisory level with cascade configuration has the best performance with the smallest time constant about 1.206 second.
Doris Saez; Aldo Cipriano; and Andrzej W. Ordys, “Optimization of Industrial Processes at Supervisory Level”, Springer-Verlag, London, 2002.
B. Bulut; M.R. Katebi; M.A. Johnson, “Industrial Application of Model Based Predictive Control as a Supervisory System”, Proceedings of the American Control Conference, Chicago, Illinois, June, 2000.
LI Suzhen; LIU Xiangjie; YUAN Gang, “Application of Hierarchical Control in Supervisory Predictive Control”, Proceedings of the 33rd Chinese Control Conference, Nanjing, China, July 28-30, 2014.
Med. Essahafi, “Model Predictive Control (MPC) Applied to Coupled Tank Liquid Level System”, Laboratory of Autmation and Energy (LACE) Faculty of Science and Technology-CED-Science and Technology, 2014.
M. Sbarciog; R. De Keyser; S. Cristea; and C. De Prada, “Nonlinear predictive control of processes with variable time delay. A temperature control case study”, 17th IEEE International Conference on Control Applications Part of 2008 IEEE Multi-conference on Systems and Control San Antonio, Texas, USA, September 3-5, 2008.
M. D. Mufti; S. J. Iqbal; S. A. Lone; and Qurat-ul Ain, “Supervisory Adaptive Predictive Control Scheme for Supercapacitor Energy Storage System”, IEEE, October 17, 2013.
Wei QI; Jinfeng Liu; Xianzhong Chen; and Panagiotis D, “Supervisory Predictive Control of Standalone Wind/Solar Energy Generetion Systems”, IEEE Transactions on Control Systems Technology, Vol. 19, No. 1, January, 2011.
Guolian Hou; Jingbin Liu; Pengcheng Jiang; Jianhua Zhang; “ The Application of Supervisory Predictive Control in Supercritical Unit Coordinated Control System”, IEEE 8th Conference of Industrial Electronics and Applications (ICIEA), Melbourne, Australia, 2013.
Normey-Rico, J.E., “Control of Dead-time Processes”, Springer, XXV, 462, 2007.
..,”Process Control Technology PCT-100 manual” BYTRONIC Educational Technology, Staffordshire, England.
Liu Ping Wang, PhD, “Model Predictive Control System Design and Implementation Using”, Springer-Verlag, London, 2009.
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.