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Optimal PI controller design for second order plus time delay processes based on gain margin and improved error integration indices | IEEE Conference Publication | IEEE Xplore

Optimal PI controller design for second order plus time delay processes based on gain margin and improved error integration indices


Abstract:

In this paper, we present an optimal PI controller design method for second order plus time delay models using gain margin (GM) index and any one of the improved error in...Show More

Abstract:

In this paper, we present an optimal PI controller design method for second order plus time delay models using gain margin (GM) index and any one of the improved error integration indices: improved integral of absolute error (ISE) index, improved integral of square error (IAE) index and improved integral of time absolute error (ITAE) index. GM index has been used to guarantee system stability and determine the search region. Different error integration indices are compared, results show that the improved error integration indices are essentially the same and they give the same design results. System's unit step response curve show that the PI controllers designed by improved error integration indices have an optimal control performance.
Date of Conference: 31 May 2018 - 02 June 2018
Date Added to IEEE Xplore: 28 June 2018
ISBN Information:
Electronic ISSN: 2158-2297
Conference Location: Wuhan, China
Citations are not available for this document.

I. Introduction

The Proportional-Integral (PI) controller is one of the most widely used controllers in the control industry and is universally popular in motion control, process control, power electronics, hydraulics, pneumatics, and manufacturing [1]–[3]. In these industrial practice, controller designs are performed based on an approximate model of the actual process. Generally, the approximated model is First Order Plus Time Delay (FOPTD) or Second Order Plus Time Delay (SOPTD). It is essential to design a control system which will exhibit a robust performance because the physical systems can vary with operating conditions and time. Gain Margin (GM) and Phase Margin (PM) are well known index for evaluating the control performance of a control system [4]. And there are lots of research work on the design of robust PI controller based on these two parameters [5]–[10]. However, the use of GM and PM together still cannot ensure the stability of the control system, since they only add constraints to two points of the Nyquist locus . There may exist such a situation that GM and PM are already satisfied, but part of the Nyquist locus is still very close to (-1, j0) point and stability is not good. It is known that when the Nyquist locus is very close to (-1, j0) point, there bound to be a large error value of unit step input response, and this could be dealt with the error integration indices.

Cites in Papers - |

Cites in Papers - IEEE (1)

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1.
Igor Krčmar, Aleksandar Rakić, Velibor Đalić, Bojan Derajić, Petar Marić, "Towards Optimal PI Controller for a Coupled Tanks System", 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN), pp.1-5, 2024.

Cites in Papers - Other Publishers (3)

1.
Pham Quoc Khanh, Nguyen Tien Dat, Ho Pham Huy Anh, "Optimal Fuzzy PI Approach for PMSM Speed Control Using Modified Jaya Optimization Technique", Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2023.
2.
Pham Quoc Khanh, Ho Pham Huy Anh, "Hybrid optimal fuzzy Jaya technique for advanced PMSM driving control", Electrical Engineering, 2023.
3.
Pham Quoc Khanh, Ho Pham Huy Anh, "Advanced PMSM speed control using fuzzy PI method for hybrid power control technique", Ain Shams Engineering Journal, pp.102222, 2023.
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References

References is not available for this document.