In Ethiopia, imported and locally manufactured electric stoves are used for cooking and baking food. An imported electric stove consumes less electric power, whereas locally manufactured electric stoves are the most e...
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This article proposes a Disturbance Observer Based controller (DOBC) improved by the inclusion of an Active Disturbance Rejection controller (ADRC), in classical transfer function form, as a feedback controller. Typic...
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ISBN:
(纸本)9781665400299
This article proposes a Disturbance Observer Based controller (DOBC) improved by the inclusion of an Active Disturbance Rejection controller (ADRC), in classical transfer function form, as a feedback controller. Typically, the DOB controller uses a disturbance observer (DO) obtained by subtracting the low pass filtered plant inverse from the similarly filtered input signal. After direct disturbance cancellation, the feedback controller part of the DOB controller scheme is usually prescribed in an independently free manner. The use, in classical transfer function form, of a Reduced Order Extended State Observer based Active Disturbance Rejection controller (ROESO-ADRC) as a feedback controller, in place of an unrelated controller, is shown to vastly improve the total disturbance attenuation in the closed loop system, thus enhancing the output reference trajectory tracking performance. The method is tested in the trajectory tracking control of an under-actuated, nonlinear, moving crane.
This article presents an experimental stand for the remote control of a D.C. motor used to drive a conveyor belt. This is based on two development boards Arduino Uno and two shields NRF24L01. The D. C. motor is suppli...
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Vehicle routing is a famous discrete optimization problem. It is not guaranteed to obtain optimal solutions across numerous complex cases. Both heuristics and exact algorithms can be used for analysis and synthesis of...
Vehicle routing is a famous discrete optimization problem. It is not guaranteed to obtain optimal solutions across numerous complex cases. Both heuristics and exact algorithms can be used for analysis and synthesis of typical vehicle routing problems. It turns out to be a combinatorial optimization issue in transportation, such as single depot single trip vehicle routing, single depot multiple trip vehicle routing, multiple depot multiple trip vehicle routing. The focus is on performance comparisons of diverse algorithms for these applications, covering exact discrete dynamic programming and heuristic evolutionary algorithms (genetic algorithms, particle swarm optimization, and ant colony optimization). Analysis and synthesis of four schemes will be conducted at diverse scales, so that merits and drawbacks of each approach will be clearly manifested. It provides a feasible way via numerical simulations on how to solve various types of vehicle routing problems most efficiently in a timely fashion.
In this article, our previous work on the Least Support Denoising-Orthogonal Matching Pursuit (LSD-OMP) reconstruction algorithm for noisy measurements is secured by utilizing the Logistic chaotic map [1]. Additionall...
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With the rapid development of the Internet, especially the extensive application of deep learning, change detection has been successfully applied in many fields, but the pursuit of greater feature information content ...
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The multiplier, serving as the fundamental construct for arithmetic operations within computing systems, wields a significant influence in the domain of modern electronic technology. This paper describes the definitio...
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Improving the reliability of medium voltage distribution networks (6-10 kV in Russia) remains a relevant task. One of the means of improving the reliability and observability of distribution zones is equipping them wi...
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This paper proposes a novel control system integrating sliding mode control (SMC) with a lock-in amplifier (LA) to enhance the stability and power sharing precision in microgrids (MGs) with distributed generation (DG)...
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The use of electrical Vehicles (EVs) is increasing rapidly nowadays. This results in the efficient utilization of electrical energy. This leads to making the grid more economically reliable. Thus the smart charging of...
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