Jabari Mostafa, Ekinci Serdar, Izci Davut, Bajaj Mohit, Zaitsev Ievgen
Faculty of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.
Department of Computer Engineering, Batman University, Batman, 72100, Turkey.
Sci Rep. 2024 Sep 28;14(1):22442. doi: 10.1038/s41598-024-73409-5.
This paper introduces a novel multi-stage FOPD(1 + PI) controller for DC motor speed control, optimized using the Pelican Optimization Algorithm (POA). Traditional PID controllers often fall short in handling the complex dynamics of DC motors, leading to suboptimal performance. Our proposed controller integrates fractional-order proportional-derivative (FOPD) and proportional-integral (PI) control actions, optimized via POA to achieve superior control performance. The effectiveness of the proposed controller is validated through rigorous simulations and experimental evaluations. Comparative analysis is conducted against conventional PID and fractional-order PID (FOPID) controllers, fine-tuned using metaheuristic algorithms such as atom search optimization (ASO), stochastic fractal search (SFS), grey wolf optimization (GWO), and sine-cosine algorithm (SCA). Quantitative results demonstrate that the FOPD(1 + PI) controller optimized by POA significantly enhances the dynamic response and stability of the DC motor. Key performance metrics show a reduction in rise time by 28%, settling time by 35%, and overshoot by 22%, while the steady-state error is minimized to 0.3%. The comparative analysis highlights the superior performance, faster response time, high accuracy, and robustness of the proposed controller in various operating conditions, consistently outperforming the PID and FOPID controllers optimized by other metaheuristic algorithms. In conclusion, the POA-optimized multi-stage FOPD(1 + PI) controller presents a significant advancement in DC motor speed control, offering a robust and efficient solution with substantial improvements in performance metrics. This innovative approach has the potential to enhance the efficiency and reliability of DC motor applications in industrial and automotive sectors.
本文介绍了一种用于直流电机速度控制的新型多级FOPD(1+PI)控制器，该控制器采用鹈鹕优化算法(POA)进行优化。传统的PID控制器在处理直流电机的复杂动态特性时往往存在不足，导致性能欠佳。我们提出的控制器集成了分数阶比例微分(FOPD)和比例积分(PI)控制动作，并通过POA进行优化，以实现卓越的控制性能。通过严格的仿真和实验评估验证了所提出控制器的有效性。与传统PID和分数阶PID(FOPID)控制器进行了对比分析，这些传统控制器使用原子搜索优化(ASO)、随机分形搜索(SFS)、灰狼优化(GWO)和正弦余弦算法(SCA)等元启发式算法进行了微调。定量结果表明，经POA优化的FOPD(1+PI)控制器显著提高了直流电机的动态响应和稳定性。关键性能指标显示，上升时间减少了28%，调节时间减少了35%，超调量减少了22%，而稳态误差最小化至0.3%。对比分析突出了所提出控制器在各种运行条件下的卓越性能以及更快的响应时间、高精度和鲁棒性，始终优于通过其他元启发式算法优化的PID和FOPID控制器。总之，经POA优化的多级FOPD(1+PI)控制器在直流电机速度控制方面取得了重大进展，提供了一种强大而高效的解决方案，性能指标有了实质性的提升。这种创新方法有可能提高直流电机在工业和汽车领域应用的效率和可靠性。
