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computational intelligence and Low Cost Sensors in Biomass Combustion Process

Computational Intelligence and Low Cost Sensors in Biomass C...

引用

3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Pitel', Jan Mizak, Jozef Tech Univ Kosice Fac Mfg Technol Dept Math Informat & Cybernet Presov Slovakia

ISBN: (纸本)9781467358934

Artificial intelligence techniques have been used for carbon monoxide and oxygen low cost sensors signal processing in biomass combustion. Considering a large scatter of the measured data two approximation tools using artificial neural networks have been tested for approximation of carbon monoxide emissions dependence on oxygen concentration in the flue gas: AForge. Neuro library and Neural Network Fitting Tool of Matlab. The comparable results of approximation have been obtained by testing of both approximation tools on the off-line measured data.

关键词： arificial neural networks biomass combustion carbon monoxide emissions oxygen concentration

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An Embedded System of the Measurement Instrument Applied in Aluminum Electrolytic Cells 11th

An Embedded System of the Measurement Instrument Applied in ...

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11th International symposium on computational intelligence and Industrial Applications, ISCIIA 2024

作者： Ji, Xin Zhang, Zhaohui Zhao, Xiaoyan Zhang, Tianyao Chen, Yan School of Automation and Electrical Engineering University of Science and Technology Beijing 30# Xueyuan Road Haidian District Beijing100083 China Beijing Engineering Research Center of Industrial Spectrum Imaging 30# Xueyuan Road Haidian District Beijing100083 China

ISBN: (纸本)9789819647521

The modern method for aluminum production is electrolysis, which extracts molten aluminum from a mixture of cryolite and alumina. During the aluminum electrolysis process, due to density differences, the molten aluminum settles at the bottom while the electrolyte remains on top. The balance of the heights of the molten aluminum and the electrolyte directly affects the current efficiency during aluminum production. Given the enormous current involved in the electrolysis process, even a slight reduction in current efficiency can lead to significant energy wastage. Therefore, maintaining the balance between the molten aluminum and the electrolyte requires regular measurements to adjust feeding strategies. However, the current measurement method is manual, time-consuming, labor-intensive, and cannot provide real-time height data. This paper addresses the issue of strong interference in the measurement of key parameters in aluminum electrolysis production and presents the design and implementation of an embedded electronic system based on an ARM processor. The system is designed to interface with sensors and various peripheral devices. Through manual and automatic control, multiple parameters within the electrolytic cell could be measured and displayed in real time. Field test results indicated that this system effectively obtained precise data on the aluminum electrolysis production process, potentially becoming a fundamental component for the intelligentization of aluminum production in the future. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Aluminum refining

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Modelling of a 4WS4WD Vehicle and Its control for Path Tracking

Modelling of a 4WS4WD Vehicle and Its Control for Path Track...

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3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Woods, Michael R. Katupitiya, Jay Univ New S Wales Sch Mech & Mfg Engn Sydney NSW Australia

ISBN: (纸本)9781467358934

This paper presents a dynamic model representing the rigid body motion of a four wheel steer and four wheel drive (4WS4WD) vehicle which also takes into account the rotational dynamics of the individual wheels as well as the tyre terrain interactions. It also presents a modified pursuit algorithm taking into account the kinematic constraints as well as a decentralized wheel propulsion control system. Simulation results are presented to show the model validation and the successful implementation of the path tracking algorithm.

关键词： Four wheel steer four wheel drive systems path tracking traction control

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Temperature Optimal control of the Casting Billet Induction Heating Process Based on the BP Prediction Model

Temperature Optimal Control of the Casting Billet Induction ...

引用

3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Xu Zhe Pan Sanqiang Hangzhou Dianzi Univ Inst Informat & Control Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781467358934

It's difficult to achieve the target temperature control for the continuous casting billet with regular voltage control curve in electromagnetic induction heating process of hot rolling production line. This paper first analyzed billet electromagnetic induction heating mechanism, determined the factors which caused the billet temperature rise, and applied artificial neural network to establish the temperature prediction model. Then, with decoupling the relationship between the billet heating conditions and the voltage curve, this paper applied the random search method to optimize the voltage control curve based on the prediction model. Finally, the actual trial showed that the optimized voltage control curve could achieve a high precision control of the target temperature

关键词： electromagnetic induction heating temperature optimal control

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Application of Delay-Dependent Adaptive control to a Continuous Stirred Tank Reactor

Application of Delay-Dependent Adaptive Control to a Continu...

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3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Nounou, Hazem N. Nounou, Mohamed N. Texas A&M Univ Qatar Elect & Comp Engn Program POB 23874 Doha Qatar Texas A&M Univ Qatar Chem Engn Program Doha Qatar

ISBN: (纸本)9781467358934

The main contribution of this work is the application of delay-dependent adaptive control techniques to control nonlinear continuous stirred tank reactor (CSTR) model with state delay. The delay-dependent adaptive control problem is first formulated and stabilizing adaptive control algorithms are developed and then applied to the CSTR process model. The CSTR model includes a nonlinear perturbation which is assumed to have a norm that is bounded by a scaled norm of the state vector. Here, we consider two cases where the weight of the state norm is assumed to be known and unknown. Simulation results show the efficacy of the delay-dependent adaptive control schemes in controlling the CSTR nonlinear process model.

关键词： adaptive control chemical engineering chemical reactors delays nonlinear control systems perturbation techniques stability vectors

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Research on Temperature Error Calibration Method of Fluxgate Sensor 11th

Research on Temperature Error Calibration Method of Fluxga...

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11th International symposium on computational intelligence and Industrial Applications, ISCIIA 2024

作者： Yang, Ruiping Ge, Jian Luo, Wang Hu, Xiangyun She, Jinhua Chugo, Daisuke Dong, Haobin School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China Faculty of Engineering Kwansai Gakuin University Osaka669-1330 Japan School of Geophysics and Geomatics China University of Geosciences Wuhan430074 China Hubei Subsurface Multi-scale Imaging Key Laboratory Wuhan430074 China School of Engineering Tokyo University of Technology Hachioji Tokyo192-0982 Japan

ISBN: (纸本)9789819647521

The fluxgate sensor is the most widely used sensor in vector magnetic measurement. However, during long-term continuous observation, the fluxgate sensor will produce large measurement errors due to changes in ambient temperature. This paper proposes a temperature calibration method for the fluxgate sensor based on polynomial fitting to address the temperature error of fluxgate sensors. First, the effect of temperature on the performance indicators of the fluxgate sensor was analyzed. Second, according to the existing temperature-magnetic field data, a temperature calibration model of the fluxgate sensor was constructed. And compared it with other temperature calibration method, the result shows that the proposed temperature calibration method is relatively simple and can better achieve real-time calibration for sensor application scenarios. Finally, to verify the effectiveness of the proposed method, numerous laboratory experiments were implemented. The temperature drift was reduced from about 700 nT before calibration to about 1 nT, root mean square error RMSE=11.7189, indicating that the proposed method has a good temperature calibration effect on the data measured by the fluxgate sensor within the variable temperature background. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Curve Fitting Fluxgate Sensor Temperature Calibration

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Requirement to standardise self reconfigurable robotics

Requirement to standardise self reconfigurable robotics

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ieee International symposium on computational intelligence in Robotics and automation

作者： Duhaut, D University de Bretagne Sud France

Selfreconfigurable robots are built on a set of elementary modules. Actually the different works in this field are not compatible. This can be seen as an useless dispersion. We propose here an analyse of the condition... 详细信息

ISBN: (纸本)0780378660

关键词： Mechanical sensors Crystallization Robot sensing systems Level control Actuators Sensor systems Manipulators Joining processes Power generation Communication system control

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Minimal Overshoot Direct Torque control for Permanent Magnet Synchronous Motors Using Hybrid Bacteria Foraging-Particle Swarm Optimization

Minimal Overshoot Direct Torque Control for Permanent Magnet...

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3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Bayoumi, Ehab H. E. Higher Colleges Technol ADMC Dept Elect & Elect Engn Technol Abu Dhabi U Arab Emirates

ISBN: (纸本)9781467358934

This paper presents a robust torque, flux and speed controller's design method for permanent magnet synchronous motor (PMSM) drive using Direct Torque control (DTC). A simple algorithm is presented to adjust the parameters of torque, flux and speed controllers. This mini-max optimization problem is solved using Hybrid Bacteria Foraging-Particle Swarm Optimization Approach (BF-PSO). The solution thus obtained is global optimal and robust. The proposed technique eliminates common problems including;torque ripples, low speed and integration drift. As well as it characterized by fast tracking capability, minimal overshoot responses, and robust to load disturbances and low speed operation. Results prove the effectiveness and viability of the proposed technique.

关键词： bacteria foraging optimization particle swarm optimization minimal overshoot PI controller PMSM drive direct torque control

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Study on distributed internal synchronization in a LAN network

Study on distributed internal synchronization in a LAN netwo...

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3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Yang, Lei Lin, Hu Zheng, Liaomo Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Anhui Peoples R China Chinese Acad Sci Shenyang Inst Comp & Technol Shenyang Peoples R China

ISBN: (纸本)9781467358934

To meet rising demands of synchronization precision in distributed nodes in LAN network, a specialized scheme is proposed based on the intermediate-level modeling for initial synchronization and periodical resynchronizations with basic concurrency control and tight bounds. Several representative threads are designed and well scheduled with definite and thorough functional partitioning inside to create a fast and efficient circumstance for communication between nodes. An experimental realization based on RT Linux kernel and corresponding measurements are accomplished. The results indicate that in a small-scale distributed environment, the nodes are able to be well synchronized during in the long run with hundreds of resynchronizations and the deviations are significantly limited in a reasonable range. The proposed scheme effectively promotes the performance of dock synchronization in the LAN network.

关键词： Linux concurrency control local area networks synchronisation

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Modeling and Analyzing Technical Systems as Complex Networks: Detecting Inverse Response

Modeling and Analyzing Technical Systems as Complex Networks...

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3rd ieee symposium on computational intelligence in control and automation (CICA)

作者： Geiger, Andreas Kroll, Andreas Univ Kassel Measurement & Control Dept D-34125 Kassel Germany

ISBN: (纸本)9781467358934

"Complex networks" is the term for a research area where complex systems are modeled by a graph to analyze their structural behavior. They are mostly used in the areas of social sciences, biology and physics. For example, complex networks are a proper method to describe and analyze the non-trivial characteristics depending on the interconnection in a society or between human organs. In the context of computational intelligence, this paper introduces an idea to transfer the methods of the area of complex networks to technical systems, and, furthermore, enhance them to permit analyzing dynamic behavior. As a basis for the method transfer a transfer-function-based graph is presented which allows modeling technical systems in the same way as complex networks. The potential to detect dynamical behavior, in addition to structural behavior, is demonstrated by a new algorithm that detects inverse response in interconnected systems based on methods of complex networks. The introduced algorithm provides a qualitative answer if inverse response behavior is possible between a pair of input and output of a system. Finally, two case studies are used to demonstrate the algorithm.

关键词： complex networks graph theory interconnected systems network theory (graphs) transfer functions

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