Abstract
Design, tuning and implementation of various control structures, such as one-degree of freedom (DOF) and two-DOF structures of both integer-order and fractional-order proportional integral derivative controller to stabilize the magnetic levitation plant, is proposed in this paper. The two-DOF structure has been formulated by incorporating a separate control loop in the existing one-DOF control structure. The parameters of all the controller structures have been tuned using evolutionary algorithms, namely, particle swarm optimization (PSO), teaching learning-based optimization (TLBO), genetic algorithm (GA) and black widow optimization (BWO). The performance of the algorithms has been compared on the basis of Wilcoxon signed-rank test and Friedman test. The controller structures have also been tested for disturbance rejection, by applying a periodic pulse distribution at the output of the closed loop. It is found that the system achieves iso-damping characteristic, exhibiting flat phase-plot at the vicinity of the gain cross-over frequency. It is also observed that the two-DOF FOPID controller structure exhibits an improvement of 45.02%, 7.6% and 7.81% in peak overshoot (OS), settling time (Ts) and rise time (Tr), respectively, over two-DOF IOPID, in case of GA. In comparison with GA, the improvement of 73.02%, 4.31% and 5.7% is witnessed for OS, Ts and Tr in case of PSO and 20.029%, 11.03% and 10.60% improvement is observed for OS, Ts, Tr in the case of TLBO algorithm. In contrast, the BWO-tuned two-DOF FOPID controller exhibits superior time-domain response as it generates an improvement of nearly 100%, 29.28% and 14.76% for OS, Ts and Tr. The proposed controller achieves superior disturbance rejection ability measured in terms of sensitivity and complementary sensitivity compared to other state-of-art algorithms.
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Sahoo, A.K., Mishra, S.K., Acharya, D.S. et al. A comparative evaluation of a set of bio-inspired optimization algorithms for design of two-DOF robust FO-PID controller for magnetic levitation plant. Electr Eng 105, 3033–3054 (2023). https://doi.org/10.1007/s00202-023-01867-7
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DOI: https://doi.org/10.1007/s00202-023-01867-7