This project proposes the design of Maximum Power Point Tracking (MPPT) using the Particle Swarm Optimization (PSO) technique under partial shading conditions. Besides that, a DC-DC buck converter was designed to adap...
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This research paper delves into the energy management of a hybrid system containing PV modules, wind turbines, a diesel generator, and battery storage, simulated using MATLAB. The primary focus is on optimizing the po...
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Predicting the remaining useful life (RUL) of mechanical equipment under variable operating conditions poses a significant challenge in prognostics. Existing methods often focus solely on monitoring data from the equi...
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In urban areas, traffic congestion often causes significant delays in emergency response times, potentially jeopardizing lives. This project proposes an Automatic Lane Clearance system specifically designed to facilit...
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This paper deals with the study of suppression of the common mode currents at the output of e Vehicle three-phase pulse width modulation (PWM) inverter using AC core. The selection of AC core remains challenged becaus...
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In this paper, we present a blockchain based resource allocation scheme on UAV-assisted communication in vehicular network. Our design aims to minimize the system delay by coordinating the spectrum sharing and power c...
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Composite mobile robots (CMRs) have gained extensive application in the industrial sector due to their integrated loading and operational capabilities. The trajectory tracking control module, being a vital constituent...
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ISBN:
(纸本)9798350370058;9798350370164
Composite mobile robots (CMRs) have gained extensive application in the industrial sector due to their integrated loading and operational capabilities. The trajectory tracking control module, being a vital constituent, directly influences the degree of stability in robot operations. However, current tracking control methods exhibit suboptimal performance when encountering system uncertainties arising from both the environment and inherent system factors. This paper presents a novel hierarchical control strategy tailored for the hierarchical model of composite mobile robot chassis. This strategy effectively combines velocity control and torque control, resulting in satisfactory trajectory tracking control. Firstly, a hierarchical kinematic and dynamic model is constructed to account for varying payload and environmental uncertainties. Subsequently, a pose-velocity-torque hierarchical controller is formulated to regulate chassis speed by manipulating torque input, thereby achieving pose regulation and trajectory tracking. Finally, the control algorithm is implemented using MATLAB and adapted to industrial computers for the development and validation of the controller's effectiveness. Comparative experiments are conducted against existing methods, demonstrating the superiority of the proposed controller.
The main task of Global Navigation Satellite system (GNSS) receiver is to obtain satellite signals, but the signal acquisition operations performed in this process consume a large amount of hardware resources. Compres...
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The sophistication of technology has shown to offer several benefits in various fields. The advent of Artificial Intelligence (AI) has the potential to significantly improve any area of its integration, including Mech...
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This paper describes an improved stereo matching technique aimed at achieving high-precision non-contact measurements of stationary objects. The method is based on the SGBM (Semi-Global Block Matching) algorithm, whic...
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