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Abstract

Tuning rules for PID and PI-PI servo controllers are developed using a pole placement approach with a multiple pole, i.e. a triple one in the case of PID and a quadruple for PI-PI. The controllers involve complex roots in the numerators of the transfer functions. This is not possible in the classical P-PI structure which admits real roots only. The settling time of the servos determined by the multiple time constant is the only design parameter. Nomograms to read out discrete controller settings in terms of the time constant and control cycle are given. As compared to the classical structures, the upper limit on the control cycle is now twice longer in the case of PID, and four times in the case of PI-PI. This implies that the settling times can be shortened by the same ratios. Responses of a PLC-controlled servo confirm the validity of the design.
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Bibliography

  1.  B. Siciliano and O. Khatib, Eds., Springer Handbook of Robotics. Berlin Heidelberg: Springer, 2008.
  2.  G. Ellis, Ed., Control System Design Guide, 4th ed. ButterworthHeinemann, 2012.
  3.  G.W. Younkin, Industrial Servo Control Systems, 2nd ed. New York: Marcel Dekker, 2002.
  4.  S.-M. Yang and K.-W. Lin, “Automatic Control Loop Tuning for Permanent-Magnet AC Servo Motor Drives,” IEEE Trans. Ind. Electron., vol. 63, no. 3, pp. 1499–1506, 2016.
  5.  G.F. Franklin, J.D. Powell, and A.F. Emami-Naeini, Feedback Control of Dynamic Systems, 7th ed. Reading: Addison-Wesley, 2019.
  6.  L. Sciavicco and B. Siciliano, Modelling and Control of Robot Manipulators. London: Springer, 2000.
  7.  T. Tarczewski, M. Skiwski, L.J. Niewiara, and L.M. Grzesiak, “High-performance PMSM servo-drive with constrained state feedback position controller,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 66, pp. 49–58, 2018.
  8.  V. Rao and D. Bernstein, “Naive control of the double integrator,” IEEE Control Syst. Mag., vol. 21, pp. 86–97, 2001.
  9.  P.B. Schmidt and R.D. Lorenz, “Design principles and implementation of acceleration feedback to improve performance of DC drives,” IEEE Trans. Ind. Appl., vol. 28, no. 3, pp. 594–599, 1992.
  10.  T. Żabiński and L. Trybus, “Tuning P-PI and PI-PI controllers for electrical servos,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 58, pp. 51–58, 2010.
  11.  D.E. Seborg, T.F. Edgar, D.A. Mellichamp, and F.J. Doyle, Process Dynamics and Control, 4th ed. New York: Wiley, 2016.
  12.  C. Grimholt and S. Skogestad, “Optimal PI and PID control of first-order plus delay processes and evaluation of the original and improved SIMC rules,” J. Process Control, vol. 70, pp. 36–46, 2018.
  13.  K.J. Åström and T. Hägglund, Advanced PID Control, Research Triangle Park, 2005.
  14.  “Maxima CAS homepage.” [Online]. Available: https://maxima.sourceforge.io/.
  15.  “ESTUN Industrial Technology Europe.” [Online]. Available: https://www.estuneurope.eu/.
  16.  “BECKHOFF New Automation Technology.” [Online]. Available: https://www.beckhoff.com/.
  17. EN 61131-3, Programmable controllers – Part 3: Programming languages (IEC 61131-3:2013), International Standard, CENELEC Std., 2013.
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Authors and Affiliations

Andrzej Bożek
1
ORCID: ORCID
Leszek Trybus
1
ORCID: ORCID

  1. Department of Computer and Control Engineering, Rzeszów University of Technology, W. Pola 2, 35-959 Rzeszów, Poland
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Abstract

Chemical processes use to be non-minimum phase systems. Thereby, they are a challenge for control applications. In this paper, fuzzy state feedback is applied in the Van de Vusse reaction that has an inverse response. The control design has an integrator to enhance the control performance by eliminating the steady-state error when a step reference is applied. An anti-windup action is used to reduce the undershoot in the system response. In practice, it is not possible to have always access to all the state variables. Thus, a fuzzy state observer is implemented via LMIs. Frequently, the papers that show similar applications present some comments about disturbance rejection. To eliminate the steady-state error when a ramp reference is used, in this work, a second integrator is aggregated. Now, the anti-windup also reduces the overshoot generated due to the usage of two integrators in the final application.
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Authors and Affiliations

C.A. Márquez-Vera
1
M.A. Màrquez-Vera
2
Z. Yakoub
3
A. Ma’arif
4
A.J. Castro-Montoya
5
N.R. Cázarez-Castro
6

  1. Universidad Veracruzana, Prolongación Venustiano Carranza S/N, Col. Revolución, Poza Rica 93390, Veracruz, Mexico
  2. Polytechnic Universityof Pachuca, C. Pachuca-Cd. Sahagún Km 20, Ex-Hacienda de Santa Bárbara, Zempoala 43830, Hgo., Mexico
  3. University of Gabès, National Engineering Schoo lof Gabès, Rue Omar Ibn El Khattab, Zrig Eddakhlania, Gabès 6029, Tunisia
  4. Universitas Ahmad Dahlan, Jl. Kapas No. 9, Semaki, Kec. Umbulharjo, Yogyakarta 55166, Indonesia
  5. Universidad Michoacana de San Nicolás de Hidalgo, Edif. M, Ciudad Universitaria, Morelia 58030, Michoacán, Mexico
  6. Instituto Tecnológico de Tijuana, Calz. Tecnológico S/N, Fracc. Tomás Aquino, Tijuana 22414, BC, Mexico

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