The proceedings contain 314 papers. The topics discussed include: internationalconference Information Technologies in Business and Industry 2018 18-20 January 2018, Tomsk Polytechnic University, Tomsk, Russian Federa...
The proceedings contain 314 papers. The topics discussed include: internationalconference Information Technologies in Business and Industry 2018 18-20 January 2018, Tomsk Polytechnic University, Tomsk, Russian Federation;optimization of multiconductor modal filters using various criteria with different weighting coefficients;detection of initial level of brillouin frequency shift in optical fibers of different types;algorithm of taxonomy: method of design and implementation mechanism;process approach for modeling of machine and tractor fleet structure;mathematical simulation and optimization of cutting mode in turning of workpieces made of nickel-based heat-resistant alloy;system of end-to-end symmetric database encryption;and experience of developing cloud service for accounting sales in installments.
Firstly, the global efficiency of the Hybrid Excitation Synchronous Motor speed control system is optimized as the control target. The speed partitioning efficiency optimization control strategy is proposed for the cu...
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ISBN:
(纸本)9781728133980
Firstly, the global efficiency of the Hybrid Excitation Synchronous Motor speed control system is optimized as the control target. The speed partitioning efficiency optimization control strategy is proposed for the current distributor module. With the output torque as the constraint condition, the Lagrange multiplier equation is established in the Low-Speed Zone, Medium-Speed Zone and High-Speed Zone respectively. The Lagrange multiplier equation yields an optimal current distribution value. Secondly, for the nonlinear coupling between the current components and the speed of the current loop, the dynamic performance of the system is reduced. The exact feedback linearization method is adopted to realize the dynamic decoupling of the system. The feedback linearization theory is applied to derive the system. The expressions of the coordinate transformation matrix and the feedback control law are obtained as a fully decoupled linear model of the Hybrid Excitation Synchronous Motor. The simulation results show that compared with the traditional PI control strategy, the proposed control strategy reduces the motor loss, while the dynamic performance is improved and the torque ripple is reduced.
The decrease in oil and gas prices results in a huge impact in the oil and gas company. This paper discusses the importance of integrated asset modeling and optimization of oil and gas fields under various oil and gas...
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ISBN:
(纸本)9781613994245
The decrease in oil and gas prices results in a huge impact in the oil and gas company. This paper discusses the importance of integrated asset modeling and optimization of oil and gas fields under various oil and gas price scenarios. The integrated model is defined as simulation runs from the reservoir up to the surface process and continues with an economic evaluation. Various field models under different production strategies are presented in the paper and evaluated based on the integrated asset model. The reservoir models are a gas condensate reservoir under gas cycling and an oil reservoir under water alternating gas (WAG) injection production strategies taken from SPE 3 and SPE 5 comparative projects. Derivative free optimization methods are used to find the best operating conditions for the field. The optimization objective is to maximize economic key performance indicators, such as net present value, and to minimize cost, such as gas injection cost. The decision variables are gas injection fraction, gas injection time, water injection rate and WAG time. Using integrated system modeling, the operating parameters can be determined accurately considering reservoir and surface process capabilities. The optimization results showed that optimum gas injection time is longer during high oil prices compared to low oil prices for the gas condensate reservoir under gas injection. The oil and gas prices are fluctuating in a certain cycle over time, and the dynamic fluctuations are accommodated in the economic model. Many reasons are behind the dynamic fluctuations of oil and gas prices. The fluctuations will have an impact on company production strategies. The economic model will be simulated under very high, high, intermediate, low and very low price scenarios. For each scenario, the model will be run in the integrated modeling and reservoir only modeling. A scenario of varying the ratio of oil to gas price is also included in the analysis. Different oil and gas prices
Particle swarm optimization (PSO) algorithm has the ability of global optimization, but it often suffers from premature convergence problem, especially in high-dimensional multimodal functions. In order to overcome th...
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ISBN:
(纸本)9783037858462
Particle swarm optimization (PSO) algorithm has the ability of global optimization, but it often suffers from premature convergence problem, especially in high-dimensional multimodal functions. In order to overcome the premature property and improve the global optimization performance of PSO algorithm, this paper proposes an improved particle swarm optimization algorithm, called IPSO. The simulation results of eight unimodal/multimodal benchmark functions demonstrate that IPSO is superior in enhancing the global convergence performance and avoiding the premature convergence problem to SPSO no matter on unimodal or multimodal high-dimensional (100 real-valued variables) functions.
An IMC-PID based on V-norm decoupling for multivariable stable process with time delay was proposed in this paper. Previous multivariable IMC is usually designed after the decoupling of the process, however the indust...
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ISBN:
(纸本)9783037852842
An IMC-PID based on V-norm decoupling for multivariable stable process with time delay was proposed in this paper. Previous multivariable IMC is usually designed after the decoupling of the process, however the industrial process modeling is difficult to be precise, so the controller design is often not ideal after decoupling. The method in this paper designs both the decoupling and controller at the same time, the IMC is not only a controller, but also a decoupling compensation. A filter parameter optimization method based on a new performance function was adopted. The controller can be realized by time delay compensation when there is an advance part. The IMC-PID designed by this method has strong robustness when the model is mismatch and excellent performance both in decoupling and control. The simulation results show that the method is very effective and has a wide range of application in actual industry area.
To solve the power system multi-objective reactive power optimization problem better, the shortcomings of the current multi-objective reactive power optimization were analyzed. The vector evaluated adaptive immune par...
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This paper presents study about Dynamic Matrix Control (DMC) controller applied to speed control of DC motor. DMC controller parameters, prediction horizon, control horizon and damping rate of reference, are obtained ...
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This paper introduces a computational framework for optimizing vegetation removal, modelled via so-called blackline or fireline widths, to enhance efficiency and cost-effectiveness of a prescribed burn for planned red...
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ISBN:
(纸本)9783031637537;9783031637513
This paper introduces a computational framework for optimizing vegetation removal, modelled via so-called blackline or fireline widths, to enhance efficiency and cost-effectiveness of a prescribed burn for planned reduction of vegetation density. The QUIC FIRE simulation tool is employed to conduct simulations across fireline widths ranging from 8 to 24m in 2-m increments within a strategically chosen burn unit that covers the usecase of a wildland urban interface located around the region of Auburn, CA. Through visual analysis and quantitative cost function assessment, incorporating polynomial fit and the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm within a basinhopping framework, an optimal fireline width is computed that minimizes costs, efforts and the risk of fire escapes. Findings indicate that strategic adjustments in fireline widths significantly influence the success of prescribed burns, underscoring the value of advanced simulation and optimization techniques. This work provides a foundational framework for subsequent studies, advocating for the development of dynamic, adaptive models that are scalable across varied ecological and geographical settings. Contributions extend to a computational and economic perspective on sustainable risk mitigation, underlining the pivotal influence of technology and advanced modeling in the evolution of prescribed burn strategies.
Motion planning of space robot approaching the target satellite is indispensable for satellite on-orbit servicing. However, many motion planning methods cannot be directly applied to practical space robot system. In o...
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ISBN:
(纸本)9781538620359
Motion planning of space robot approaching the target satellite is indispensable for satellite on-orbit servicing. However, many motion planning methods cannot be directly applied to practical space robot system. In order to solve this problem, we adopt the velocity-level kinematics to solve the motion planning problem of space robot in Cartesian space. During the process of space robot motion, the attitude disturbance optimization of satellite base and joint limits avoidance arc key issues. For the joint limit problem, the joint threshold function optimization method is proposed. For the disturbance of the base attitude, we propose a new optimization method based on the coupling angular momentum. Finally, the results of the simulation experiment are given, which prove that the methods in this paper are valid.
Evolutionary computation covers the family of artificial intelligence techniques inspired by nature and biological evolution. These methods, such as swarm intelligence, may have a very positive impact on video games, ...
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ISBN:
(纸本)9781728127415
Evolutionary computation covers the family of artificial intelligence techniques inspired by nature and biological evolution. These methods, such as swarm intelligence, may have a very positive impact on video games, for instance, for the design of Non-Player Characters (NPCs) to obtain a realistic intelligent behavior in a simple way. To this aim, we describe an evolutionary behavioral design of NPCs using particle swarm optimization in a first-person shooter video game. Several computer experiments have been carried out to analyze the feasibility and performance of this approach. Our experimental results show that the proposed method performs very well and can be successfully used in a fully automatic (i.e., without any human player) and efficient way.
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