Design of a new PID controller using predictive functional control optimization for chamber pressure in a coke furnace

ISA Transactions - Tập 67 - Trang 208-214 - 2017
Jianming Zhang1
1State Key Laboratory of Industrial Control Technology, Institute of Cyber-Systems & Control, Zhejiang University, Hangzhou 310027, PR China

Tài liệu tham khảo

Sawarkar, 2007, Petroleum residue upgrading via delayed coking: a review, Can J Chem Eng, 85, 1, 10.1002/cjce.5450850101 Haseloff, 2007, Implementing coker advanced process control, Hydrocarb Process, 86, 99 Zhang, 2015, State-space predictive-p control for liquid level in an industrial coke fractionation tower, IEEE Trans Autom Sci Eng, 12, 1516, 10.1109/TASE.2014.2323340 Zhang, 2014, Temperature control of industrial coke furnace using novel state space model predictive control, IEEE Trans Ind Inform, 10, 2084, 10.1109/TII.2014.2350452 Cao, 2016, Priori knowledge based online closed-loop identification for batch process with an application to injection molding, Ind Eng Chem Res, 55, 8818, 10.1021/acs.iecr.6b01900 Zhang, 2008, Adaptive state feedback predictive control and expert control for a delayed coking furnace, Chin J Chem Eng, 16, 590, 10.1016/S1004-9541(08)60126-3 Cao, 2016, Two time dimensional recursive system identification incorporating priori pole and zero knowledge, J Process Control, 39, 100, 10.1016/j.jprocont.2015.12.011 Cao, 2016, Online identification for batch processes in closed loop incorporating priori controller knowledge, Comput Chem Eng, 90, 222, 10.1016/j.compchemeng.2016.04.025 Ziegler, 1942, 64, 759 Cohen, 1953, Theoretical investigation of retarded control, Trans ASME, 75, 827 Tyreus, 1992, Tuning PI controllers for integrator/dead time processes, Trans ASME, 31, 2628 Bequette, 2003 Rivera, 1986, Internal model control 4. PID controller design, Ind. Eng. Chem. Process Des Dev, 25, 252, 10.1021/i200032a041 Venkatashankar, 1994, Design of P and PI controllers for unstable FOPTD model, Int J Control, 60, 137, 10.1080/00207179408921455 Luyben, 1996, Tunning proportional-integral-derivative controllers for integrator/dead time processes, Ind Eng Chem Res, 35, 3480, 10.1021/ie9600699 Lee, 1998, PID controller tuning for desired closed-loop responses for SISO systems, AIChE J, 44, 106, 10.1002/aic.690440112 Padma, 2004, A simple method of tuning PID controllers for stable and unstable FOPTD systems, Comput Chem Eng, 28, 2201, 10.1016/j.compchemeng.2004.04.004 Zhang, 2014, Design and implementation of an improved linear quadratic regulation control for oxygen content in a coke furnace, IET Control Theory Appl, 8, 1303, 10.1049/iet-cta.2013.1023 Zhang, 2008, Support vector machine based predictive functional control design for output temperature of coking furnace, J Process Control, 18, 439, 10.1016/j.jprocont.2007.10.008 Garpinger, 2014, Performance and robustness trade-offs in PID control, J Process Control, 24, 568, 10.1016/j.jprocont.2014.02.020 Miccio, 2014, Control of a distillation column by type-2 and type-1 fuzzy logic PID controllers, J Process Control, 24, 475, 10.1016/j.jprocont.2013.12.007 Palmor, 1980, Stability properties of Smith dead-time compensator controllers, Int J Control, 32, 937, 10.1080/00207178008922900 Boudjehem, 2013, A fractional model for robust fractional order Smith predictor, Nonlinear Dyn, 73, 1557, 10.1007/s11071-013-0885-9 Wu, 2014, Design of dynamic matrix control based PID for residual oil outlet temperature in a coke furnace, Chemom Intell Lab Syst, 134, 110, 10.1016/j.chemolab.2014.03.016 Tsai, 2012, Modified Smith predictor with a robust disturbance reduction scheme for linear systems with small time delays, EXPERT SYSTEMS, 29, 394, 10.1111/j.1468-0394.2011.00612.x Vanavil, 2012, Smith predictor based parallel cascade control strategy for unstable processes with application to a continuous bioreactor, Chem Product Process Model, 7, 22 Qin, 2003, A survey of industrial model predictive control technology, Control Eng Pract, 11, 733, 10.1016/S0967-0661(02)00186-7 Cao, 2015, Two-time-dimensional model predictive control of weld line positioning in bi-Injection molding, Ind Eng Chem Res, 54, 4795, 10.1021/ie5041397 Zhang, 2015, An improved decoupling structure based state space MPC design with improved performance, Syst Control Lett, 75, 77, 10.1016/j.sysconle.2014.11.009 le Roux, 2014, Optimal control of grinding mill circuit using model predictive static programming: a new nonlinear MPC paradigm, J Process Control, 24, 29, 10.1016/j.jprocont.2014.10.007 Cao, 2014, Constrained two dimensional recursive least squares model identification for batch processes, J Process Control, 24, 871, 10.1016/j.jprocont.2014.04.002 Zou, 2016, Design of fractional order predictive functional control for fractional industrial processes, Chemom Intell Lab Syst, 152, 34, 10.1016/j.chemolab.2016.01.011 Cole, 2014, Optimal electricity rate structures for peak demand reduction using economic model predictive control, J Process Control, 24, 1311, 10.1016/j.jprocont.2014.04.014 Cao, 2016, Discrete-time robust iterative learning Kalman filtering for repetitive processes, IEEE Trans Autom Control, 61, 270, 10.1109/TAC.2015.2434073 Teh, 2014, Design of unknown input functional observers for nonlinear systems with application to fault diagnosis, J Process Control, 23, 1169, 10.1016/j.jprocont.2013.06.013 Zhang, 2016, New minmax linear quadratic fault-tolerant tracking control for batch processes, IEEE Trans Autom Control, 61, 3045, 10.1109/TAC.2015.2504181 Tadic, 2014, Particle filtering for sensor fault diagnosis and identification in nonlinear plants, J Process Control, 24, 401, 10.1016/j.jprocont.2014.02.009 Cao, 2016, Iterative learning Kalman filter for repetitive processes, J Process Control, 46, 92, 10.1016/j.jprocont.2016.08.003 Hong, 2014, Progressive multi-block modelling for enhanced fault isolation in batch processes, J Process Control, 24, 13, 10.1016/j.jprocont.2013.10.013 Zhang, 2014, State space model predictive fault-tolerant control for batch processes with partial actuator failure, J Process Control, 24, 613, 10.1016/j.jprocont.2014.03.004 Xu, 2005, Practical receding-horizon optimization control of the air handling unit in HVAC systems, Ind Eng Chem Res, 44, 2848, 10.1021/ie0499411 Savran, 2013, A multivariable predictive fuzzy PID control system, APPLIED SOFT COMPUTING, 13, 2658, 10.1016/j.asoc.2012.11.021 Lee, 2009, Predictive PID tuning method based on the simplified GPC control law, J Chem Eng Jpn, 42, 274, 10.1252/jcej.08we225 Saad, 2012, PID controller tuning using evolutionary algorithms, WSEAS Trans Syst Control, 7, 139 Zhang, 2014, New PID controller design using extended nonminimal state space model based predictive functional control structure, Ind Eng Chem Res, 52, 3236, 10.1021/ie4027617 Ribic, 2012, A dead-time compensating PID controller structure and robust tuning, J Process Control, 22, 1340, 10.1016/j.jprocont.2012.06.003 Papadopoulos, 2013, Optimal automatic tuning of active damping PID regulators, J Process Control, 23, 905, 10.1016/j.jprocont.2012.11.006 Slavov, 2012, Application of genetic algorithm to tuning a PID controller for glucose concentration control, WSEAS Trans Syst, 11, 223 Zhang, 2016, A new approach of Takagi-Sugeno fuzzy modeling using improved GA optimization for oxygen content in a coke furnace, Ind Eng Chem Res, 55, 6465, 10.1021/acs.iecr.6b01364 Zhang, 2014, Real-time implementation of improved state space MPC for air-supply in a coke furnace, IEEE Trans Ind Electron, 61, 3532, 10.1109/TIE.2013.2284142