In order to optimize heat transfer in a heat exchanger using an ARM (advanced RISC machine) core intelligent computer algorithm, a new type of controller has been designed. The whole control structure of the heat exchange unit has been conceived on the basis of seven functional modules, including data processing and output, human-computer interaction, alarm, and data communication. The main controller and communication controller have been used in a combined fashion and a new MCU (micro control unit) system scheme has been proposed accordingly. A fuzzy controller has been designed by using a fuzzy control algorithm, and a new mode of heat transfer for the heat exchanger has been implemented by combining the fuzzy controller and the PID (proportioning integral derivative) controller. Finally, the model has been applied to an actual heat exchange station to test and verify the performances of the new approach.
Depth apparent resistivity imaging is an important process of data processing and analysis in the aviation transient electromagnetic method. It can provide reference value of conductor depth, vertical extension, and other information, and can accurately provide the measurement of each aviation transient electromagnetic measurement system. The structural section of the apparent conductivity of the one-dimensional layered medium on the line. As an advanced geophysical exploration technology, the aerial transient electromagnetic method has been applied significantly in the exploration of polymetallic minerals abroad in recent years. In this paper, based on the theory of ground-to-air transient electromagnetic method with multiple radiation sources, a corresponding multi-component global apparent resistivity definition method is established. The advantages of using the magnetic field strength to define the global apparent resistivity of the multi-radiation field source ground-air system are analysed. For each component of the magnetic field strength, respective global apparent resistivity algorithms are proposed to realize the multi-component, full-time, and full-space visual resistivity. The resistivity is calculated, and the influence of the offset on the global apparent resistivity is analysed. By adjusting the relative position of the source and the current direction and other parameters, the multi-radiation source transient electromagnetic ground-air system can not only strengthen the signal strength of different components, weaken random interference, but also better distinguish the location of underground anomalies
Since the 1950s, with the acceleration of urbanization in the world, the urban population has gradually increased. Due to the increase of floating population and road vehicles, urban traffic shows a rapid growth trend. As a mass and high-density public transport, urban rail transit has attracted worldwide attention, and three-dimensional rapid rail transit has been adopted to solve the worsening urban traffic problems. As a mass, fast and punctual public transport, urban rail transit needs frequent start-up and braking. As the traditional traction power supply substation cannot absorb energy in reverse direction, the excess energy generated during vehicle regenerative braking cannot be reused, resulting in energy waste. Therefore, this paper studies the regenerative braking energy absorption and utilization technology based on supercapacitor, and stores the excess energy generated during vehicle regenerative braking into the supercapacitor energy storage system. And the energy in the supercapacitor energy storage system is released when the vehicle starts to accelerate, so that the regenerative braking energy is fully and effectively utilized.
Temperature plays an important role in daily life, industry production and scientific experimentation. However, because of the multi characteristics of nonlinearity, large lag, and time-varying of control objects, there will be great difficulties in establishing accurate mathematical models with mathematical methods. In order to achieve well controlling effects, this paper proposes a mature controlling system. This system combines PID algorithm and fuzzy control to design a fuzzy PID intelligent controller, which could process complex data and complex systems simultaneously. The high flexibility of fuzzy control and the high precision of PID control of this system could solve the influence of large inertia and interference of the temperature control system. This design will adopt the STC89C52 MCU as the main control core. Meanwhile, the fuzzy PID controller are combined with fuzzy control and PID control to control the temperature. In this paper, we first introduce the hardware composition of PID temperature control system. Secondly, we use proteus to build the general circuit diagram, and then use KEIL software to program again. Finally, we simulate the system and analyze the simulation results by the simulink module in MATLAB, and finally achieve the expected results.
As we know, grid quality can produce big effect on the numerical precision of 3D forward modeling. How to generate high-quality grids becomes the key for high-accuracy EM responses. So we develop a weighted adaptive finite-element method based on hybrid posterior error estimation in combination with unstructured vector finite-element method and Backward Euler scheme. We introduce a weighting factor to adjust the relative weight of posterior errors defined by the continuities of normal current density and tangential magnetic field to create an effective mesh. The numerical experiments on a conductive cube model show that our algorithm performs better than the traditional adaptive method.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.