The proceedings contain 48 papers. The topics discussed include: periodic event-triggered containment control for multirobot systems;research on an algorithm for constructing object-level semantic map based on scene u...
ISBN:
(纸本)9798350367119
The proceedings contain 48 papers. The topics discussed include: periodic event-triggered containment control for multirobot systems;research on an algorithm for constructing object-level semantic map based on scene understanding;research on cargo palletizing problem based on hybrid genetic algorithm;visual and LiDAR SLAM performance in campus scenes;an adaptive fluorescence image restoration method using sparsity and continuity prior;optimal trajectory planning for robotic arm based on improved whale optimization algorithm;adaptive sliding mode attitude and trajectory tracking control of quadrotor UAV;bipartite consensus of multirobot systems with an event-triggered impulsive strategy;and research on climbing motion planning of inchworm robot based on improved PSO.
In this paper Sonoran pronghorn movement optimization (SPO) algorithm and Quaking aspen optimization (QAO) algorithm are applied for solving the Electrical Engineering Problem in order to improve the quality of Power....
详细信息
The induction motor's challenge with energy efficiency maximization at light load condition is the foremost motif of this paper. To increase the amount of time that an electric vehicle can run on a single charge, ...
详细信息
The proceedings contain 216 papers. The topics discussed include: implementation of a wireless energy monitoring and databasing system using PLC;optimizing the integration of distributed generation, shunt capacitors, ...
ISBN:
(纸本)9798350387193
The proceedings contain 216 papers. The topics discussed include: implementation of a wireless energy monitoring and databasing system using PLC;optimizing the integration of distributed generation, shunt capacitors, and electric vehicle charging stations into radial distribution systems;comparative analysis of TFET structures for low power sensor design;comparison of PID tuning methods for buck converter system;frequency control of power system under denial of service attack;GACNNXAI: employing genetic algorithm-enhanced convolutional neural networks and explainable artificial intelligence and its applications;and implementation of a non-invasive PCB embedded Rogowski coil current sensor for control of high frequency GaN LLC resonant converter with active rectification.
The high penetration of renewable energy into the power grid results in a reduction of system inertia. Consequently, in the event of faults like DC blocking fault, low-inertia systems exhibit severe frequency fluctuat...
详细信息
ISBN:
(纸本)9798350373707;9798350373691
The high penetration of renewable energy into the power grid results in a reduction of system inertia. Consequently, in the event of faults like DC blocking fault, low-inertia systems exhibit severe frequency fluctuations, thereby triggering the activation of stability control devices and resulting in substantial economic losses. Frequency emergency control is of great significance for ensuring the safe and stable operation after large disturbances. This paper combines energy storage control with frequency emergency control. Specifically, it integrates the actual output of the energy storage into the generation tripping tuning process, thereby reducing the amount of generation tripping, optimizing the frequency intervals and delays of generation tripping. This paper constructs an optimization model for the coordinated operation of energy storage systems, consisting of two stages: optimization tuning and simulation verification. The optimization tuning module includes a scenario selection process considering system inertia and a generator tripping tuning process, which combines the energy storage output to obtain an optimized generator tripping scheme. The verification module consists of an energy storage control model based on MPC-MHE (Model Predictive control and Moving Horizon Estimation) and an energy storage virtual inertia control process, verifying the effectiveness of energy storage control under the proposed generator tripping scheme. Finally, a provincial-level power grid is taken as a case study to validate the effectiveness of the proposed energy storage control strategy.
The series-half-bridge (SHB) LLC resonant converter, is suitable for the wide range input voltage applications. This paper presents that it can operate in the two-level mode, double-frequency mode, and three-level mod...
详细信息
ISBN:
(纸本)9798350353211;9798350353204
The series-half-bridge (SHB) LLC resonant converter, is suitable for the wide range input voltage applications. This paper presents that it can operate in the two-level mode, double-frequency mode, and three-level mode. Subsequently, a multi-mode combined control method is proposed to select the optimal operating mode combination under different gain ranges of converters. The proposed method can significantly reduce the frequency variation range of the converter compared to the traditional LLC resonant converter, thereby improving the conversion efficiency. The effectiveness of this method has been verified through simulations in PLECS.
This paper proposes an efficient multiobjective optimization method to improve the torque performance of a novel interior permanent magnet synchronous machine (IPMSM) called the consequent-pole asymmetric rotor hybrid...
详细信息
Unmanned Aerial Vehicle enabled (UAV-enabled) wireless powered Wireless Sensor Networks (WSN) provide an effective way to deploy massive and passive sensors for environmental monitoring in harsh environments. This stu...
详细信息
ISBN:
(纸本)9798350373707;9798350373691
Unmanned Aerial Vehicle enabled (UAV-enabled) wireless powered Wireless Sensor Networks (WSN) provide an effective way to deploy massive and passive sensors for environmental monitoring in harsh environments. This study focuses on maximizing the total energy received by all Sensor Nodes (SNs) through the optimization of the UAV trajectory. An energy-aware smoothing trajectory method is proposed by considering the dynamic energy requirements of SNs. First, the optimization problem (P1) is formulated according to the mathematical model. Second, the B-spline method is introduced to turn the smoothing problem into a solvable problem (P2). Finally, problem (P2) is solved under the constraints to obtain the trajectory solution. Simulation results indicate the proposed method can adjust the overall trajectory according to the SNs demands. Meanwhile, according to the wake-up distance and energy-aware, the trajectory of some nodes can be locally adjusted without affecting other trajectory segments.
This paper explores Particle Swarm optimization (PSO) based control of a morphing robot arm mounted on a controlled Floating Space Robot (CFSR). CFSR is a new study spacecraft model allowing controlled adjustments of ...
详细信息
ISBN:
(纸本)9798350307573;9798350307566
This paper explores Particle Swarm optimization (PSO) based control of a morphing robot arm mounted on a controlled Floating Space Robot (CFSR). CFSR is a new study spacecraft model allowing controlled adjustments of the satellite base's pose. The dynamic model of the chaser spacecraft is derived relative to the target in an inertial frame, using the Clohessy-Wiltshire model or Hills equations for defining their relative motion. It is assumed that both spacecraft are in an Inplane-elliptical formation. The manipulator dynamics are obtained through Lagrangian formulation. The PSO algorithm optimizes controller gain values while a quintic polynomial trajectory is provided as input to the arm joints. Results show that the PSO-based controller effectively reduces tracking error and power requirements, and it is also compared with a conventional proportional-derivative (PD) controller.
The paper presents the work carried out in Hydrogen fuel cell to sources the stabilized voltage. The work involves modeling the fuel cell, conventional boost converter, SEPIC converter and interleaved converter. A com...
详细信息
暂无评论