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Journal of Applied Nonlinear Dynamics
Miguel A. F. Sanjuan (editor), Albert C.J. Luo (editor)
Miguel A. F. Sanjuan (editor)

Department of Physics, Universidad Rey Juan Carlos, 28933 Mostoles, Madrid, Spain

Email: miguel.sanjuan@urjc.es

Albert C.J. Luo (editor)

Department of Mechanical and Industrial Engineering, Southern Illinois University Ed-wardsville, IL 62026-1805, USA

Fax: +1 618 650 2555 Email: aluo@siue.edu


Practical Implementation of an Enhanced Nonlinear PID Controller Based on Harmony Search for One-Stage Servomechanism System

Journal of Applied Nonlinear Dynamics 9(2) (2020) 189--205 | DOI:10.5890/JAND.2020.06.003

Mohamed. A. Shamseldin$^{1}$, Mohamed Sallam$^{2}$, A.M. Bassiuny$^{2}$, A.M. Abdel Ghany$^{3}$

$^{1}$ Depart. of Mechatronics Eng., Future University in Egypt, Cairo, Egypt

$^{2}$ Department of Mechanical Eng., Helwan University, Cairo, Egypt

$^{3}$ Depart. of Electrical Eng., October 6 University (Helwan University Originally), Cairo, Egypt

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Abstract

This paper presents a practical implementation for a new formula of nonlinear PID (NPID) control. The purpose of the controller is to accurately trace a preselected position reference of one stage servomechanism system. The possibility of developing a transfer function model for experimental setup is elusive because of the lack of system data. So, the identified model has been developed via gathering experimental input/output data. The performance of the enhanced nonlinear PID (NPID) controller had been investigated by comparing it with linear PID controller. The harmony search (HS) tuning system had built to determine the optimum parameters for each control technique based on an effective objective function. The experimental and simulation results proved that the enhanced nonlinear PID (NPID) controller has better performance and more robust compared to linear PID controller. Both the simulation and the experimental results are identical significantly.

References

  1. [1]  Yuliza, E., Habil, H., Salam, R.A., Munir, M.M., and Abdullah, M. (2017), Development of a Simple Single- Axis Motion Table System for Testing Tilt Sensors, Procedia Eng., 170, 378-383.
  2. [2]  Zhao, P., Huang, J., and Shi, Y. (2017), Nonlinear dynamics of the milling head drive mechanism in five-axis CNC machine tools, Int. J. Adv. Manuf. Technol.
  3. [3]  Perz, P., Malujda, I., Wilczy, D., and Tarkowski, P. (2017), Methods of controlling a hybrid positioning system using LabVIEW, Procedia Eng., 177, 339-346.
  4. [4]  Li, F.L., Mi, M.L., and Jin, Y.Z.N. (2017), Friction identification and compensation design for precision positioning, Springer, pp. 120-129.
  5. [5]  Irfan, M., Effendy, M., Alif, N., Lailis, S., Pakaya, I., and Faruq, A. (2017), Performance Comparison of Fuzzy Logic and Proportional-integral for an Electronic Load Controller, Int. J. Power Electron. Drive Syst., 8(3), 176-1183.
  6. [6]  Franchi, A. and Mallet, A. (2017), Adaptive Closed-loop Speed Control of BLDC Motors with Applications to Multi-rotor Aerial Vehicles, in 2017, IEEE International Conference on Robotics and Automation (ICRA) Singapore., (978), 5203-5208.
  7. [7]  Wen, S., Wang, T., Ma, Z., and Li, X. (2017), Dynamics Modeling and Fuzzy PD Control of Humanoid Arm, in Proceedings of the 36th Chinese Control Conference, (3), 616-621.
  8. [8]  Engineering, M. and Issn, S. (2017), Second order sliding mode control for direct drive positioning system,J. Mech. Eng. Sci., 11(4), 3206-3216.
  9. [9]  Nguyen, V. and Lin, C. (2017), Adaptive PD Networks Tracking Control with Full-State Constraints for Redundant Parallel Manipulators, in IFSA-SCIS 2017, (4), 0-4.
  10. [10]  Madiouni, R. (2017), Robust PID Controller Design based on Multi-Objective Particle Swarm Optimization Approach, in ICEMIS2017, pp. 1-7.
  11. [11]  Chang, M., Guo, G., and Member, S. (2016), Sinusoidal Servocompensator Implementations With Real-Time Requirements and Applications, IEEE Trans. Control Syst. Technol., 1-8.
  12. [12]  Iftar, A. (2015), Robust Servomechanism Problem for Robotic Systems Described by Delay-Differential- Algebraic Equations, IEEE 7th Int. Conf. CIS RAM, 2(1), 13-18,.
  13. [13]  Cloutier, J. (2014), Simulation and Control of a Ball Screw System Actuated by a Stepper Motor with Feedback by.
  14. [14]  Abeykoon, C. (2016), Control Engineering Practice Single screw extrusion control?: A comprehensive review and directions for improvements, Control Eng. Pract., 51, 69-80.
  15. [15]  Omar, M.F., Ebrahim, M.A., Ghany, A.M., and Bendary, F. (2016), Tuning of PID Controller for Load Frequency Control Problem via Harmony Search Algorithm, Indones. J. Electr. Eng. Comput. Sci., 1(2), 255-263.
  16. [16]  Feng, B., Zhang, D., Yang, J., and Guo, S. (2015), A Novel Time-Varying Friction Compensation Method for Servomechanism, Hindawi Publ. Corp. Math. Probl. Eng., 2015, 16.
  17. [17]  Zhang, B., Cheng, G., and Hu, J. (2016), An Expanded Proximate Time-optimal Servo Controller Design for Fast Set-point Motion, Proc. 35th Chinese Control Conf., July, (2), 4465-4470.
  18. [18]  Wang, C., Yang, M., Zheng, W., Lv, X., Hu, K., and Xu, D. (2016), Analysis of Limit Cycle Mechanism for Two-mass System with Backlash Nonlinearity, Major Proj. Minist. Sci. Technol. China, 500-505.
  19. [19]  Lee, W., Lee, C., Hun, Y., and Min, B. (2015), International Journal of Machine Tools & Manufacture Friction compensation controller for load varying machine tool feed drive, Int. J. Mach. Tools Manuf., 96, 47-54.
  20. [20]  Kim, S., Kim, S., and Ha, I. (2004), An Efficient Identification Method for Friction in Single-DOF Motion Control Systems, IEEE Trans. on Control Systems Technology, 12, 555-563.
  21. [21]  Bi, D., Li, F., Tso, S.K., and Wang, G.L. (2004), Friction Modeling and Compensation for Haptic Display- based on Support Vector Machine, IEEE Trans. on Industrial Electronics, 51, 491-500.
  22. [22]  Abdullah, L., Jamaludin, Z., Ahsan, Q., Jamaludin, J., Rafan, N.A., C. Heng, T., Jusoff, K., and Yusoff, M. (2013), Evaluation on Tracking Performance of PID, Gain Scheduling and Classical Cascade P/PI Controller on XY Table Ballscrew Drive System Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka ( UteM ), 21, pp. 1-10, .
  23. [23]  Nadu, T. and Magnet, P. (2016), Modeling and Implementation of Intelligent Commutation System for BLDC Motor in Underwater Robotic Applications, in 1st IEEE International Conference on Power Electronics. Intelligent Control and Energy Systems (ICPEICES-2016) Modeling, 1-4.
  24. [24]  Su, Y.X., Sun, D., and Duan, B.Y. (2005), Design of an enhanced nonlinear PID controller, Mechatronics, 15, 1005-1024,.
  25. [25]  Banu, U.S. and Lakshmanaprabu, S.K. (2015), Multivariable Centralized Fractional Order PID Controller tuned using Harmony search Algorithm for Two Interacting Conical Tank Process, in SAI Intelligent Systems Conference 2015 November 10-11, 2015 | London, UK Multivariable, pp. 320-327.
  26. [26]  Zhao, P. and Shi, Y. (2014), Robust control of the A-axis with friction variation and parameters uncertainty in five-axis CNC machine tools, J. Mech. Eng. Sci..
  27. [27]  Reddy, B.B. (2014), Modelling and Control of 2-DOF Robotic Manipulator Using BLDC Motor, Int. J. Sci. Eng. Technol. Res. (IJSETR), 3(10), 2760-2763.
  28. [28]  Shamseldin, M.A. and El-samahy, A.A. (2014), Speed Control of BLDC Motor By Using PID Control and Self-tuning Fuzzy PID controller.
  29. [29]  Sastry, D.V.L.N. and Naidu, M.S.R. (2012), An Implementation of Different Non Linear PID Controllers on a Single Tank level Control using Matlab, Int. J. Comput. Appl., 54(1), 6-8.
  30. [30]  El-samahy, A.A. and Shamseldin, M.A. (2016), Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control, Ain Shams Eng. J..
  31. [31]  Omar, M., Ghany, A.M.A., and Bendary, F. (2015), Harmony Search based PID for Multi Area Load Fre- quency Control Including Boiler Dynamics and Nonlinearities, WSEAS Trans. CIRCUITS Syst., 14, 407-414.
  32. [32]  Ebrahim, M.A. and Bendary, F. (2016), Reduced Size Harmony Search Algorithm for Optimization, J. Electr. Eng., 1-8.