Modelling, analysis and controller design of time-variable flow processes

A systematic theory for analysis and controller design of material transport systems under unsteady flow conditions is developed. It is assumed that the system is linear with respect to material concentrations so that the input-output dynamics can be characterized by a time-varying weighting function. The relation between the residence time distribution function and the weighting function is derived, and it is shown that the two functions become equal, when represented as functions of a new integrated time variable. A considerable complexity reduction is achieved, if, additionally, the weighting function becomes invariant with respect to the new time scale (volumetric scale). It is shown that systems consisting of a series of perfect mixers with possible bypass flows and recycling is invariant with respect to the volumetric scale. A similar result applies to time variable delays, which become constants in the new time scale. Structural properties i.e. stability, controllability and observability are shown to be unchanged in the transformation thus making it possible to use analysis and synthesis methods of classical control theory of linear time-invariant systems. By this way, a time-variable PID controller and LQ controller are derived and tested. As a special result it is shown that a PID-controller with time-variable coefficients can stabilize a system, which would be unstable in the case of varying flow rates, if a controller with constant coefficients were used. The theoretical results and controller performance are tested by simulations and practical tests carried out by a laboratory-scale pilot plant. The results are shown to be in excellent agreement with those predicted in the theory. Preface The thesis was carried out in the Control Engineering Laboratory at Helsinki University of Technology. I wish to express my sincere gratitude to Professor Antti J. Niemi, who introduced me to the topic and was always helpful during long discussions concerning the difficult points in the theory. Professor Heikki Koivo was not involved in this research, but his character, humour and encouragement have had a great role especially in the last period of the work. Discussions with Professor Raimo Ylinen and Dr. Jussi Orava on the theoretical part have been invaluable on many occasions. Several persons helped me during the test phase–especially in the use of the pilot plant and in the preparation of tracer tests by radioactive tracers. The assistance of Dr. during different phases of the tests has been of great help. Mr. Erkki Solin and Mr. …

[1]  Antti J. Niemi Tracer Responses and Control of Vessels with Variable Flow and Volume , 1990 .

[2]  A. Fuller,et al.  Stability of Motion , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Louis Padulo System theory , 1974 .

[4]  P. J. Orava,et al.  Causality and state concepts in dynamical systems theory , 1973 .

[5]  Kai Zenger,et al.  Simulation of variable delays in material transport models , 1994 .

[6]  M. Nihtilä Finite pole assignment for systems with time-varying input delays , 1991 .

[7]  J. Fernández-Sempere,et al.  Residence time distribution for unsteady-state systems , 1995 .

[8]  C. Kravaris,et al.  Synthesis of multivariable nonlinear controllers by input/output linearization , 1990 .

[9]  Predrag Pucar,et al.  Estimation of Residence Time in Continuous Flow Systems with Dynamics , 1994 .

[10]  W. L. Bialkowski Dreams versus reality: a view from both sides of the gap: manufacturing excellence with come only through engineering excellence , 1993 .

[11]  V. Weekman,et al.  Chemical Reaction Engineering , 1974 .

[12]  E. B. Nauman,et al.  Residence time distribution theory for unsteady stirred tank reactors , 1969 .

[13]  A. J. Niemi,et al.  Variable parameter model of the continuous flow vessel , 1988 .

[14]  Thomas H. Pulliam,et al.  Stability of Linear Systems , 2001 .

[15]  Alf Isaksson Estimate of Average Residence Time given an Identified ARX-Model , 1992 .

[16]  D. K. Donhoffer Guidebook on radioisotope tracers in industry , 1991 .

[17]  市川 朗,et al.  Linear time varying systems and sampled-data systems , 2001 .

[18]  Kai Zenger Analysis and Control of Time-Varying Flow Processes by using the State-Space Approach , 1993 .

[19]  L. Tian,et al.  RECURSIVE PROCESS IDENTIFICATION UNDER VARIABLE FLOW AND VOLUME , 1993 .

[20]  Torbjörn Wigren Recursive identification based on the nonlinear Wiener model , 1990 .

[21]  Lawrence Markus,et al.  Continuous matrices and the stability of differential systems , 1955 .

[22]  A. Nir,et al.  Tracer relations in mixed lakes in non-steady state , 1973 .

[23]  P. Jutila An application of adaptive pH-control algorithms based on physico-chemical modelling in a chemical waste-water treatment plant , 1983 .

[24]  Frank L. Lewis,et al.  Optimal Control , 1986 .

[25]  Jorge Angeles,et al.  Pitfalls of a least-squares-equivalent controller for linear, time-periodic systems , 2001 .

[26]  Kaddour Najim,et al.  Calculation of residence time for nonlinear systems , 1996, Int. J. Syst. Sci..

[27]  P. J. Orava,et al.  Notion of dynamical input-output systems: causality and state concepts , 1974 .

[28]  G. P. Szegö,et al.  Stability theory of dynamical systems , 1970 .

[29]  Teuvo Suntio,et al.  Implementation of optimal output characteristic for a telecom power supply: Fuzzy-logic approach , 2002 .

[30]  B. Pasik-Duncan,et al.  Adaptive Control , 1996, IEEE Control Systems.

[31]  J. Doyle,et al.  Essentials of Robust Control , 1997 .

[32]  L. Tian,et al.  Experimental Identification of Variable Parameter Flow Processes , 1993 .

[33]  Jean-Peter Ylén,et al.  Measuring, modelling and controlling the pH value and the dynamic chemical state , 2001 .

[34]  R. R. Mohler Nonlinear systems (vol. 1): dynamics and control , 1991 .

[35]  Kurt E. Häggblom Experimental comparison of conventional and nonlinear model-based control of a mixing tank , 1993 .

[36]  Henryk Górecki,et al.  Analysis and Synthesis of Time Delay Systems , 1989 .

[37]  H. A. Spang,et al.  Discussion Session Application of Gain Scheduling , 1990 .

[38]  Zekeriya Uykan,et al.  CLUSTERING-BASED ALGORITHMS FOR RADIAL BASIS FUNCTION AND SIGMOID PERCEPTRON NETWORKS , 2001 .

[39]  A. J. Niemi Invariant Control of Variable Flow Processes , 1981 .

[40]  P. Jutila,et al.  pH Control by linear algorithms , 1977 .

[41]  A. J. Niemi Process Control Under Variable Flow and Volume , 1991 .

[42]  Antero Arkkio,et al.  Comparison of reconstruction schemes of multiple SVM s applied to fault classification of a cage induction motor , 2002 .

[43]  P. V. Danckwerts Continuous flow systems. Distribution of residence times , 1995 .

[44]  B. Anderson,et al.  Optimal control: linear quadratic methods , 1990 .

[45]  R. E. Kalman,et al.  Linear system theory-The state space approach , 1965 .

[46]  M. A. Henson,et al.  Input‐output linearization of general nonlinear processes , 1990 .

[47]  M. Elmusrati,et al.  Performance analysis of DS-CDMA mobile communication systems with MIMO antenna system and power control , 2002, IEEE Seventh International Symposium on Spread Spectrum Techniques and Applications,.

[48]  A. J. Niemi,et al.  Residence time distributions of variable flow processes , 1977 .

[49]  Roy M. Howard,et al.  Linear System Theory , 1992 .

[50]  Malcolm R. Mackley,et al.  Experimental residence time distribution measurements for unsteady flow in baffled tubes , 1989 .

[51]  Mohammad Jamshidi,et al.  Linear control systems : a computer-aided approach , 1986 .

[52]  Chi-Tsong Chen,et al.  Linear System Theory and Design , 1995 .

[53]  Heikki Hyötyniemi,et al.  Problems and practice of pH process modelling and control in stirred tank reactors , 1999 .

[54]  K. Zenger,et al.  Tracer testing of processes under variable flow and volume , 1998 .

[55]  Bill Curtis,et al.  Process modeling , 1992, CACM.

[56]  Kai Zenger,et al.  Robust Control of Variable Flow Processes , 1997 .

[57]  Kai Zenger,et al.  Analysis and Pilot Scale Testing of a Class of Process Control Algorithms with Variable Parameters , 1996 .

[58]  James L. Melsa,et al.  Linear Control Systems , 1992 .

[59]  Kai Zenger,et al.  Time-Variable Models for Mixing Processes Under Unsteady Flow and Volume , 1995 .

[60]  Idris A. Gadoura,et al.  Design of robust controllers for telecom power supplies , 2002 .

[61]  Sanna Pöyhönen,et al.  SUPPORT VECTOR MACHINES IN FAULT DIAGNOSTICS OF ELECTRICAL MOTORS , 2002 .

[62]  M. Sain Finite dimensional linear systems , 1972 .

[63]  J. Villermaux,et al.  Tracer experiments and residence-time distributions in the analysis of industrial units: case studies , 1999 .