Efficient Online Controller Tuning for Omnidirectional Mobile Robots Using a Multivariate-Multitarget Polynomial Prediction Model and Evolutionary Optimization

Biomimetics, Journal Year: 2025, Volume and Issue: 10(2), P. 114 - 114

Published: Feb. 14, 2025

The growing reliance on mobile robots has resulted in applications where users have limited or no control over operating conditions. These require advanced controllers to ensure the system's performance by dynamically changing its parameters. Nowadays, online bioinspired controller tuning approaches are among most successful and innovative tools for dealing with uncertainties disturbances. Nevertheless, these present a main limitation real-world due extensive computational resources required their exhaustive search when evaluating of complex dynamics. This paper develops an approach leveraging surrogate modeling strategy omnidirectional robot controller. polynomial response surface method is incorporated as identification stage model system predict behavior indirect adaptive approach. comparative analysis concerns state-of-the-art approaches, such online, offline robust, non-robust based optimization. results show that proposal reduces load up 62.85% while maintaining regarding under adverse also increases 93% compared approaches. Then, retains competitiveness systems conditions, other drop it. Furthermore, posterior comparison against another Gaussian process regression corroborates best reducing competitor's 91.37% increasing 63%. Hence, proposed decreases execution time be applied evolution without deteriorating closed-loop performance. To authors' knowledge, this first been tested robot.

Language: Английский

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Design and comprehensive analysis of adjustable step MPPT controllers for solar PV systems under stochastic atmospheric conditions

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 26, 2025

At present, power transmission systems are moving to renewable sources because their features more reliable, easy install, increase public health, and lower development costs when associated with conventional energy systems. Here, solar technology is considered of its advantages equated other free production, good density, low air pollutants, less maintenance requirement. In this article, a triple diode cell for achieving the accurate voltage PV, production increased by proposing Adjustable Cuckoo Search Methodology (ACSM). ACSM studied comparing it swarm Maximum Power Point Tracking (MPPT) methodologies. The proposed MPPT controller tracks MPP 0.025 s time duration at 355 K. Finally, one-switch non-isolated improvement DC-DC circuit used in system giving wide gain consumer loads. ACSM-fed converter investigated utilizing MATLAB/Simulink tool experimentally applying programmable source.

Language: Английский

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Control of three-level quadratic DC-DC boost converters for energy systems using various technique-based MPPT methods

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 26, 2025

The conventional DC-DC architecture is often used in photovoltaic systems, with control based on incremental conductance-based maximum power point tracking (MPPT-IC) algorithms. Despite its simplicity and ability to ensure voltage balance across the output capacitors, this suffers several drawbacks. These drawbacks cause undesirable problems such as high ripples, overshoot, limited dynamic response. Therefore, paper proposes a three-level quadratic boost converter suitable solution replace inverters while combined an advanced MPPT method. new approach NARX neural network (NARAX-NN) This proposed strategy designed for accuracy, robustness, fast response compared MPPT-IC strategy. In work, MPPT-NARX-NN of different strategies (MPPT-IC, type 1 fuzzy logic (MPPT-T1FL), 2 (MPPT-T2FL)). comparison performed using MATLAB under operating conditions. Simulation results indicate that significantly improves operational performance other strategies, increasing reliability deployment systems. numerical show rise time by 96.43, 97.34, 94.50% MPPT-IC, MPPT-T1FL, MPPT-T2FL, respectively. Also, settling improved 50, 66.66, 6.66% Furthermore, increases average efficiency (%) 3.86 1.12% highlight effectiveness extracting energy, flexibility, improving system reliability, making solar PV systems more efficient promising indispensable solution.

Language: Английский

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Research on a multi-peak maximum power tracking control strategy for photovoltaic systems based on an improved rime algorithm and the variable step-size perturb and observe algorithm

Electric Power Systems Research, Journal Year: 2025, Volume and Issue: 247, P. 111855 - 111855

Published: May 20, 2025

Language: Английский

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