PID control algorithm based on multistrategy enhanced dung beetle optimizer and back propagation neural network for DC motor control

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 16, 2024

Traditional Proportional-Integral-Derivative (PID) control systems often encounter challenges related to nonlinearity and time-variability. Original dung beetle optimizer (DBO) offers fast convergence strong local exploitation capabilities. However, they are limited by poor exploration capabilities, imbalance between phases, insufficient precision in global search. This paper proposes a novel adaptive PID algorithm based on enhanced (EDBO) back propagation neural network (BPNN). Firstly, the diversity of is increased incorporating merit-oriented mechanism into rolling behavior. Then, sine learning factor introduced balance Additionally, dynamic spiral search strategy $$t$$ -distribution disturbance presented enhance capability. The BPNN employed fine-tune both parameters, leveraging its powerful generalization ability model nonlinear system dynamics. In simplified motor experiments, proposed controller achieved lowest overshoot (0.5%) shortest response time (0.012 s), with settling 0.02 s steady-state error just 0.0010. another set recorded an 0.7% 0.0010 s, across five DC tests. These results demonstrate has superior performance optimizing as well improving robustness stability.

Language: Английский

Development of Mathematical Model for Understanding Microcirculation in Diabetic Foot Ulcers Based on Ankle–Brachial Index

Bioengineering, Journal Year: 2025, Volume and Issue: 12(2), P. 206 - 206

Published: Feb. 19, 2025

This study proposes an innovative mathematical model for assessing microcirculation in patients with diabetic ulcers, using the ankle-brachial index (ABI). The methodology combines Bond Graph (BG) modeling and Particle Swarm Optimization (PSO), enabling a detailed analysis of hemodynamic patterns pilot sample three patients. results revealed correlation between ulcer size reduced ABI values, suggesting that deficits directly impact severity lesions. Furthermore, despite variations values arterial pressures, all exhibited high capillary resistance, indicating difficulties microcirculatory blood flow. PSO-optimized parameters equivalent circuit were found to be R1=89.784Ω, R2=426.55Ω, L=27.506H, C=0.00040675F, which confirms presence vascular resistance compliance microvascular system foot ulcers. quantitative analysis, made possible through modeling, is crucial detecting subtle changes dynamics, may not easily identified conventional pressure measurements alone. increased observed serve as key indicator impairment, potentially guiding early intervention strategies optimizing treatment. We acknowledge represents limitation study, but this number was intentionally chosen allow controlled variables involved. Although findings are promising, additional experimental validations necessary confirm clinical applicability larger patient sample, thus solidifying its relevance practice.

Language: Английский