Control of Flow Rate in Heavy-Oil Pipelines Using PD and PID Controller

In this chapter a PD controller is utilized in order to control the flow rate of the heavy-oil in pipelines by controlling the vibration in motor-pump. A torsional actuator is placed on the motor-pump in order to control the vibration on motor and consequently controlling the flow rates in pipelines. The necessary conditions for asymptotic stability of the proposed controller is validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PD controller in the control of flow rates in pipelines.

[1]  L.G.B. Rolim,et al.  H ∞ design of rotor flux-oriented current-controlled induction motor drives: speed control, noise attenuation and stability robustness , 2010 .

[2]  Frank L. Lewis,et al.  Robot Manipulator Control: Theory and Practice , 2003 .

[3]  Edwin Kreuzer,et al.  Adaptive PD-controller for positioning of a remotely operated vehicle close to an underwater structure : Theory and experiments , 2007 .

[4]  Francisco J. Campa,et al.  Automatic Identification of the Inertia and Friction of an Electromechanical Actuator , 2014 .

[5]  Sammy Chan,et al.  PD-controller: a new active queue management scheme , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[6]  José L. Risco-Martín,et al.  Modeling and simulation of a gas distribution pipeline network , 2009 .

[7]  Alexander Gegov,et al.  Leakage Detection in Pipeline Based on Second Order Extended Kalman Filter Observer , 2020, Flow Modelling and Control in Pipeline Systems.

[8]  Ahmad Jafarian,et al.  New Iterative Approach for Solving Fully Fuzzy Polynomials , 2013 .

[9]  João Carlos Basilio,et al.  Design of PI and PID controllers with transient performance specification , 2002, IEEE Trans. Educ..

[10]  Alexander E. Gegov,et al.  Modeling and Control of Uncertain Nonlinear Systems , 2018, 2018 International Conference on Intelligent Systems (IS).

[11]  Catherine Loudon,et al.  Application of the Hagen—Poiseuille Equation to Fluid Feeding through Short Tubes , 1999 .

[12]  A. Kusters,et al.  MIMO system identification of a slab reheating furnace , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.

[13]  Alexander Gegov,et al.  Neural Network Approach to Solving Fuzzy Nonlinear Equations Using Z-Numbers , 2020, IEEE Transactions on Fuzzy Systems.

[14]  Robert D. Whitaker,et al.  An historical note on the conservation of mass , 1975 .

[15]  Eduardo Sontag,et al.  On characterizations of the input-to-state stability property , 1995 .

[16]  Sina Razvarz,et al.  Modelling and Analysis of Flow Rate and Pressure Head in Pipelines , 2019, 2019 16th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE).

[17]  Wen Yu,et al.  Numerical methods for solving fuzzy equations: A survey , 2021, Fuzzy Sets Syst..

[18]  Alexander Gegov,et al.  Blockage Detection in Pipeline Based on the Extended Kalman Filter Observer , 2020 .

[19]  Sina Razvarz,et al.  A Novel Technique to Solve Fully Fuzzy Nonlinear Matrix Equations , 2018, 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018.

[20]  Alexander Gegov,et al.  Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey , 2019, UKCI.

[21]  Alexander Gegov,et al.  Applications of Fuzzy Logic, Artificial Neural Network and Neuro-Fuzzy in Industrial Engineering , 2019 .

[22]  Ayman A. Aly An Artificial Neural Network Flow Control of Variable Displacement Piston Pump with Pressure Compensation , 2015 .

[23]  Aidan O'Dwyer,et al.  Handbook of PI and PID controller tuning rules , 2003 .

[24]  Sina Razvarz,et al.  Fuzzy Differential Equations for Modeling and Control of Fuzzy Systems , 2018, 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018.

[25]  Takeo Taniguchi,et al.  Feedback control of vortex shedding around a bluff body by velocity excitation , 2005 .

[26]  Patrizio Tomei,et al.  Adaptive PD controller for robot manipulators , 1991, IEEE Trans. Robotics Autom..

[27]  Alexander E. Gegov,et al.  Solving Partial Differential Equations with Bernstein Neural Networks , 2018, UKCI.

[28]  Raheleh Jafari,et al.  Fuzzy Modeling for Uncertainty Nonlinear Systems with Fuzzy Equations , 2017 .

[29]  Soumik Mondal,et al.  Development of a Robust Microcontroller Based Intelligent Prosthetic Limb , 2012, IC3.

[30]  Il Hong Suh,et al.  Proportional minus delay controller , 1979 .

[31]  E. W. Hendricks,et al.  Feedback control of von Kármán vortex shedding behind a circular cylinder at low Reynolds numbers , 1994 .

[32]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[33]  Ronald D. Joslin,et al.  Issues in active flow control: theory, control, simulation, and experiment , 2004 .

[34]  Karl Johan Åström,et al.  Computer-Controlled Systems: Theory and Design , 1984 .

[35]  E. Berger Suppression of Vortex Shedding and Turbulence behind Oscillating Cylinders , 1967 .

[36]  J. Ro,et al.  Active control of flow-induced vibrations of a flexible cylinder using direct velocity feedback , 1991 .

[37]  Kimon Roussopoulos,et al.  Feedback control of vortex shedding at low Reynolds numbers , 1993, Journal of Fluid Mechanics.

[38]  M. Morari,et al.  Internal model control: PID controller design , 1986 .

[39]  Alexander E. Gegov,et al.  A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks , 2020, Vietnam. J. Comput. Sci..

[40]  Fadi Z. Kamand Hydraulic Friction Factors for Pipe Flow , 1988 .

[41]  Alexander E. Gegov,et al.  Parallel Distributed Compensation for Voltage Controlled Active Magnetic Bearing System using Integral Fuzzy Model , 2018, 2018 International Conference on Intelligent Systems (IS).

[42]  Wei Wang,et al.  Optimal design of PI/PD controller for non-minimum phase system , 2006 .

[43]  Haecheon Choi,et al.  CONTROL OF FLOW OVER A BLUFF BODY , 2008, Proceeding of Fifth International Symposium on Turbulence and Shear Flow Phenomena.

[44]  Sina Razvarz,et al.  Fuzzy Sumudu Transform Approach to Solving Fuzzy Differential Equations With Z-Numbers , 2018, Advanced Fuzzy Logic Approaches in Engineering Science.

[45]  A. Jafarian,et al.  New Method for Solving Fuzzy Polynomials , 2013 .

[46]  Alexander Gegov,et al.  Foundation of Z-Numbers and Engineering Applications , 2019 .

[47]  Alexander E. Gegov,et al.  Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater , 2019, IntelliSys.

[48]  Sina Razvarz,et al.  ICA and ANN Modeling for Photocatalytic Removal of Pollution in Wastewater , 2017 .

[49]  Wen Yu,et al.  Fuzzy control for uncertainty nonlinear systems with dual fuzzy equations , 2015, J. Intell. Fuzzy Syst..

[50]  Alexander E. Gegov,et al.  A New Computational Method for Solving Fully Fuzzy Nonlinear Systems , 2018, ICCCI.

[51]  Ahmad Jafarian,et al.  Approximate solutions of dual fuzzy polynomials by feed-back neural networks , 2012 .

[52]  Wen Yu,et al.  Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z‐Number , 2019 .

[53]  Sina Razvarz,et al.  Intelligent Techniques for Photocatalytic Removal of Pollution in Wastewater , 2017 .

[54]  Sina Razvarz,et al.  Nanotechnology Applications in Industry and Heat Transfer , 2019 .

[55]  R. Verzicco,et al.  Combined Immersed-Boundary Finite-Difference Methods for Three-Dimensional Complex Flow Simulations , 2000 .

[56]  Won-jong Kim,et al.  Modeling and Multivariable Control of a Novel Multi-Dimensional Levitated Stage with High Precision , 2006 .

[57]  Alexander Gegov,et al.  Flow Control of Fluid in Pipelines Using PID Controller , 2019, IEEE Access.

[58]  Tzuu-Hseng S. Li,et al.  GA-based fuzzy PI/PD controller for automotive active suspension system , 1999, IEEE Trans. Ind. Electron..

[59]  J. E. Ffowcs Williams,et al.  The active control of vortex shedding , 1989 .

[60]  Alexander E. Gegov,et al.  The Effect of Baffles on Heat Transfer , 2019, ICINCO.

[61]  Sina Razvarz,et al.  Control of Flow Rate in Pipeline Using PID Controller , 2019, 2019 IEEE 16th International Conference on Networking, Sensing and Control (ICNSC).

[62]  Sina Razvarz,et al.  Pipeline Monitoring Architecture Based on Observability and Controllability Analysis , 2019, 2019 IEEE International Conference on Mechatronics (ICM).

[63]  A. Bos Parameter Estimation for Scientists and Engineers , 2007 .