Search Results - Particle swarm optimization algorithm

ObjectivePrecision design and kinematic calibration are two commonly utilized approaches to further improve the pose accuracy of parallel robots. Specifically, the cost of precision design is relatively high, and it is not suitable for some circumstances in which high precision is required. The most...

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The rising demand for clean energy has intensified research into solar photovoltaic (PV) systems, where efficient Maximum Power Point Tracking (MPPT) is critical to optimizing energy extraction. However, conventional MPPT techniques, such as Perturb and Observe (P&O), often suffer from power los...

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In recent years，a large number of distributed new energy power generation devices have been integrated into the grid，resulting in bidirectional power flow in distribution network. At the same time，traditional end users have also begun to join the distribution network as power supplies，which cannot b...

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The fast-paced expansion of Electric Vehicles (EVs) necessitates the establishment of efficient, sustainable, and resilient infrastructure for charging. The design of EV charging stations (EVCS) should incorporate renewable energy sources to reduce grid stress and adopt a multifaceted approach that...

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This study investigates the challenges and opportunities associated with improving the vertical resolution of normal and lateral resistivity logs in thin-bedded rock formations. The proposed iterative inversion procedure combines a finite element method forward modeling procedure with a particle swa...

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In response to the large computational load and extended processing time associated with the Monte Carlo method in the robustness verification of helicopter flight control systems, this paper proposes an unscented transformation method for such verification. This method employs particle swarm optimi...

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The rapid proliferation of electric vehicles (EVs) has significantly escalated the strain on the public grid by exacerbating fluctuations and hindering widespread EV adoption. This paper presents a cutting-edge solution with a real-time cost optimization model tailored for AC/DC microgrid energy ma...

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In the construction of the ubiquitous power Internet of Things, it is indispensable to analyze customers′ electricity consumption behavior for power companies. In previous studies, the K-means clustering algorithm is one of the commonly used methods for analyzing customer electricity consumption beh...

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In Agile software development, requirements prioritization plays a crucial role in ensuring that critical functionalities are delivered efficiently. Traditional prioritization methods often suffer from scalability limitations, lack of automation, and difficulty in handling dependencies. This paper p...

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This paper investigates the design and optimization of Linear Quadratic Regulator (LQR) controllers for vehicle active suspension systems, incorporating an electro-hydraulic actuator with an electro-servo valve. To enhance both vehicle comfort and road-holding stability, we employ Particle Swarm Op...

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To solve the problem of high cost and low efficiency of measuring equipment in traditional distribution network fault location, a fault section location and line selection strategy combining dynamic binary particle swarm optimization (DBPSO) configuration and fuzzy C-means (FCM) clustering is propos...

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This paper tackles the challenge of achieving robust and precise control for a novel quadrotor featuring continuously variable arm lengths (15 cm to 19 cm), enabling enhanced adaptability in complex environments. Unlike conventional fixed-geometry or discretely morphing unmanned aerial vehicles, thi...

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Gas turbine (GT) modeling and optimization have been widely studied at the design level but still lacks focus on real-world operational cases. The concept of a digital twin (DT) allows for the interaction between operation data and the system dynamic performance. Among many DT studies, only a few fo...

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Vibration control is critically important for engineering equipment, and in modern industrial engineering active strategies with robust performance are often adopted. In traditional studies, a single-objective consideration is often taken into account when robust control is performed, while a simult...

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In response to the problems of slow dynamic response speed and poor robustness of the traditional integer order PID control strategy for SWISS rectifiers, this paper proposes a control strategy for SWISS rectifiers based on fractional order PID. Based on the working principle of SWISS rectifier,...

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Climate change presents significant challenges due to the increasing frequency and intensity of extreme weather events. Mexico, with its diverse climate and geographic position, is particularly vulnerable, underscoring the need for robust strategies to predict atmospheric variables. This work presen...

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The work objective is to study a vital task of the multiextremal objects search engine optimization which is much more complicated than monoextremal problems. It is shown that only heuristics is appropriate in achieving this goal. Therefore, three best known and developed search engine optimization...

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When ships conduct offshore operations in the ocean, they are subject to disturbances from natural factors such as sea breezes and waves. These disturbances lead to movements detrimental to the ship’s stability, especially heave movement in the vertical direction, which profoundly impacts the safety...

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This paper proposes a novel quasi-preview control method for structural vibration control using real-time seismic wave data from multiple remote observation sites and structural response. The method uses an adaptive filter based on a polynomial dynamic model to estimate the future seismic waveform a...

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The increasing incorporation of renewable energy into power grids has significantly reduced system inertia and damping, posing challenges to frequency stability and power quality. To address this issue, an adaptive virtual synchronous generator (VSG) control strategy is proposed, which dynamically a...

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