Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2024.2307227
Implementation of FOPID controller with modified harmony search optimization for precise modelling and auto-tuning of nonlinear systems
Arumaithangam Rajendran
; Department of Electronics and Communication Engineering, Amrita College of Engineering and Technology, Nagercoil, India
*
Marappan Karthikeyan
; Department of Computer Science and Engineering, Tamilnadu College of Engineering, Coimbatore, India
Gunasekaran Saravanakumar
; Department of Electrical and Electronics Engineering, Tamilnadu College of Engineering, Coimbatore, India
* Dopisni autor.
Sažetak
This research aims to optimize the fractional order proportional integral derivative (FOPID) controller for nonlinear process tests. Instead of relying on the traditional trial-and error method for
dynamic parameter selection, this proposes a modified harmony search optimization method
to compute the optimal dynamic parameters. Based on the physical parameters, using mathematical modelling techniques system transfer function is determined. Additionally, the delay of
the control scheme is determined using the Open Loop Transfer Function (OLTF) response. The
dynamic parameters of the FOPID controller are evaluated using the Harmonic Search Algorithm
– Fractional Order Proportional Integral Derivative (HAS_FOPID) optimization technique, which
aims to minimize the system’s Integral Square Error (ISE). Time responses, including rise time,
peak time, and peak overshoot, are obtained and optimized through the HAS_FOPID algorithm.
To verify systems stability, the output response is analysed using various techniques such as
bode plots, pole placement, and Nyquist plots. Furthermore, the HAS_FOPID optimization technique is compared with other natural optimization techniques to assess its effectiveness. The
research also evaluates the system’s robustness by supply/ load disturbances. The objective is
to demonstrate that, the optimized HAS_FOPID technique, has significantly enhanced control
performance, stability, and robustness of nonlinear systems compared to natural and alternative
optimization approaches.
Ključne riječi
FOPID; PID; optimization; model; HAS
Hrčak ID:
326202
URI
Datum izdavanja:
28.2.2024.
Posjeta: 0 *