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Indoor scenario-based UWB anchor placement optimization method for indoor localization

EXPERT SYSTEMS WITH APPLICATIONS 2022年第0期205卷

作者： Pan, Hao Qi, Xiaogang Liu, Meili Liu, Lifang Xidian Univ Sch Math & Stat Xian 710126 Shaanxi Peoples R China Xidian Univ Sch Comp Sci Xian 710071 Shaanxi Peoples R China

Currently, ultra-wideband (UWB)-based localization systems are attracting much attention due to their high ranging accuracy. It is well known that the relative sensor-source geometry and non-line-of-sight (NLOS) measurement can severely impact the accuracy of the location estimate. To improve the localization accuracy, we propose an anchor placement optimization method that is based on the corresponding indoor scenario. Specifically, concrete walls affect the ranging error and constrain the placement of UWB sensors. An indoor scenario modeling method is presented for generating NLOS ranging paths and dividing the search space. Furthermore, a stochastic/deterministic combination ranging model is proposed based on the through-the-wall path and Gaussian process regression technique. We propose a heuristic differential evolution algorithm for searching for an optimal anchor placement that is based on minimizing the Cramer-Rao lower bound (CRLB) and predicting the ranging error. In addition, a region division method and a region combination method are proposed for reducing the search space, optimizing anchor placement in parallel in different regions, and providing full line-of-sight (LOS) coverage regions to the greatest extent possible. Finally, field experiments demonstrate the effectiveness of the proposed indoor scenario modeling method and ranging model. The proposed indoor scenario-based UWB anchor placement method achieves decimeter-level localization accuracy. A thorough comparison confirms the localization performance improvement attributed to the proposed anchor placement method.

关键词： Indoor localization Anchor placement optimization differential evolution algorithm Gaussian process regression Indoor scenario reconstruction

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A new remanufacturing system scheduling model with diversified reprocessing routes using a hybrid meta-heuristic algorithm

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CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS 2022年第3期30卷 283-299页

作者： Wang, Jun Liu, Xiangqi Zhang, Wenyu Xu, Junliang Zhejiang Univ Finance & Econ Sch Informat Management & Artificial Intelligence Hangzhou Peoples R China Hangzhou Dianzi Univ Informat Engn Sch 1 Hangdian RdQingshanhu St Hangzhou 311305 Peoples R China Hangzhou Dianzi Univ Sch Mech Engn Hangzhou Peoples R China

With the increasingly serious problem of environmental pollution and resource scarcity, remanufacturing has become one of the popular research fields to solve these issues. However, the practical information of end-of-life products is different (e.g. type and degree of damage) because of their various operation conditions, which complicates the reprocessing routes. Therefore, a new remanufacturing system scheduling model is proposed in this study that considers not only the coordination of remanufacturing subsystems but also job-shop-type reprocessing shops related to the diversified reprocessing routes. A hybrid meta-heuristic algorithm combining differential evolution algorithm and biogeography-based optimization algorithm through a new representation scheme is presented to address the model efficiently. Furthermore, the basic algorithms are improved by integrating the self-adaptive parameters, efficient migration and mutation operators, local search strategy, and restart strategy. Simulation experiments are performed to demonstrate the effectiveness and practicality of the proposed method compared with four baseline algorithms.

关键词： biogeography-based optimization algorithm differential evolution algorithm remanufacturing scheduling remanufacturing system reprocessing routes

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Comparison of coal-to-ethanol product separation strategies

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SEPARATION AND PURIFICATION TECHNOLOGY 2022年 301卷

作者： Liu, Daoyan Lyu, Hao Wang, Jiahao Cui, Chengtian Sun, Jinsheng Tianjin Univ Sch Chem Engn & Technol Tianjin 300072 Peoples R China Nanjing Tech Univ Inst Intelligent Mfg Nanjing 211816 Peoples R China

Given China's energy structure and the limitations of bioethanol, the coal-to-ethanol (CTE) pathway, from dimethyl ether to ethanol (DMTE) via carbonylation and hydrogenation, is highly anticipated. Ethanol, meth-anol, methyl acetate, and ethyl acetate are the crude hydrogenation products that need to be purified, requiring at least an eight-column scheme. However, the optimization of the existing separation strategy with ethanol as the priority is unfavorable in the following aspects: it is usually plagued by tedious rules of thumb and, due to the large scale of the process, is prone to falling into local minima;pre-designed heat integration inevitably neglects the interaction of parameter optimization and heat integration;reports on alternative feasible distillation se-quences are scarce in publications, let alone comparisons amongst these counterparts. Therefore, four viable separation strategies are proposed in this paper to compare with this faulted separation strategy. A self-adapting dynamic differential evolution (SADDE) algorithm, which is accelerated by parallel computation, is used to search for optimal column parameters of all the configuration options and facilitates simultaneous heat inte-gration structure synthesis. Two strategies stand out after 3000 generations of evolution. Splitting methanol outperforms in specific steam consumption (SSC) of ethanol (1.8177), much better than the benchmark (2.4840), and splitting ethyl acetate with ethyl acetate priority has the most competitive total annual cost (TAC), 23.98% lower than the benchmark. In summary, this paper provides a reference for optimizing complex distillation systems like CTE product separation, or more specifically, the DMTE route, before the appearance of the most suitable separation strategy in demand. Furthermore, it will also serve for the CTE superstructure to further explore the optimal distillation sequence.

关键词： Separation strategy differential evolution algorithm Parallel computation Heat integration Coal-to-ethanol

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Reverse identification method of line parameters in distribution network with multi-T nodes based on partial measurement data

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ELECTRIC POWER SYSTEMS RESEARCH 2022年第0期204卷 107691-107691页

作者： Li, Xueping Wang, Shengli Lu, Zhigang Yanshan Univ Key Lab Power Elect Energy Conservat & Motor Driv Qinhuangdao 066004 Hebei Peoples R China

Reverse identification of line parameters plays an important role in the calculation and analysis of the power grid, However, based on the absence of many original line parameters and much measurement data, the line parameter estimation that employs the common methods (such as the least squares method) may be unsatisfactory or even unachievable. Hence, this paper proposes a reverse identification method of line parameters in the distribution network with multi-T nodes based on partial measurement data of the SCADA and the mu PMU. Without many original values of line parameters, a multi-time reverse identification model of line parameters is established. The model is solved by the differential evolution algorithm, which is employed to realize accurate identification. The proposed method is tested based on 110 kV, 35 kV, and 10 kV distribution network cases, and the results show that the proposed method can realize precise identification under the conditions of lacking many original parameters and all measurement data of T-connection nodes.

关键词： Reverse identification line parameters Distribution network with multi-T nodes Partial measurement data differential evolution algorithm

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Mass design of nonlinear energy sinks

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ENGINEERING STRUCTURES 2022年 250卷 113438-113438页

作者： Wang, Guo-Xu Ding, Hu Shanghai Univ Sch Mech & Engn Sci Shanghai Inst Appl Math & Mech Shanghai Key Lab Mech Energy Engn Shanghai 200072 Peoples R China

Nonlinear energy sink (NES) is attracting more attention because of its promising in the control of engineering structure vibration. This paper thoroughly reviews the selection of NES mass ratios in existing studies and finds the big difference. So there is still a lack of a unified and profound understanding of the mass design of the NES. To achieve decent vibration mitigation and reduce costs, the mass design of the NES is essential. This paper pioneers the optimal mass design of NESs. The non-dominated sorting differential evolution algorithm and parameter sensitivity analysis are adopted. The relations between the optimal mass and the vibration mitigation effects are discussed in different damping and harmonic excitation strength. The results show that different from the monostable NES, the bistable NES with a small mass ratio (no more than 0.7%) and small damping can reduce 30% of the resonance peak of the primary system in most situations. However, both these two NESs with large damping need larger mass ratios to achieve decent vibration mitigation. Smaller damping of the primary system will contribute to wider effective ranges of the mass ratio of the two NESs, while larger excitation will contribute to those of the monostable NES. To ensure the vibration mitigation effects in small mass ratio, the monostable and bistable NESs with small damping need large and small cubic stiffness, respectively. Besides, the bistable NES with small damping prefers small negative linear stiffness. In summary, this paper presents a detailed study of the mass design of the nonlinear energy sink. It will help researchers and engineers find the suitable mass and design NES in the vibration reduction of engineering structures.

关键词： Vibration control Nonlinear energy sink differential evolution algorithm Mass design

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An Adaptive DE algorithm Based Fuzzy Logic Anti-swing Controller for Overhead Crane Systems

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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2020年第6期22卷 1905-1921页

作者： Sun, Zhe Ling, Yawen Qu, Hongbo Xiang, Feng Sun, Zhixin Wu, Fan Nanjing Univ Posts & Telecommun Post Ind Technol Res & Dev Ctr State Posts Bur Internet Things Technol Post Big Data Technol & Applicat Engn Res Ctr Jia Nanjing 210023 Peoples R China YuanTong Express Shanghai 201705 Peoples R China Tuskegee Univ Comp Sci Dept Tuskegee AL 36088 USA

In this paper, aiming at the under-actuated problem of the overhead crane systems, a fuzzy logic anti-swing controller is first designed according to operator experience. Moreover, for better configuring the parameters of the controller, an adaptive differential evolution with disturbance factor algorithm (ADE-D) is proposed by introducing the adaptive scaling factor, the dynamic crossover probability and disturbance factor. By implementing numeric experiment test, the results show that the adaptive differential evolution with disturbance factor algorithm outperforms the standard differential evolution algorithm and other improved differential evolution algorithms. Finally, the adaptive differential evolution with disturbance factor algorithm-based fuzzy logic anti-swing controller is simulated under different conditions and compared with other control methods;the results exhibit excellent robustness of control performance in positioning control and damping oscillation of payload.

关键词： Overhead crane systems Fuzzy control Fusion function differential evolution algorithm

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Research on Equivalent Factor Boundary of Equivalent Consumption Minimization Strategy for PHEVs

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2020年第6期69卷 6011-6024页

作者： Li, Jie Liu, Yonggang Qin, Datong Li, Guang Chen, Zheng Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China Chongqing Univ Sch Automot Engn Chongqing 400044 Peoples R China Queen Mary Univ London Sch Engn & Mat Sci London E1 4NS England Kunming Univ Sci & Technol Fac Transportat Engn Kunming 650500 Yunnan Peoples R China

The equivalent fuel consumption minimum strategy (ECMS) based on the Pontryagin's minimum principle (PMP) enables real-time energy management optimization of plug-in hybrid electric vehicles (PHEVs). However, it remains challenging to accurately determine the equivalent factor (EF). In this study, an analytical expression of the optimal EF boundary is addressed to facilitate more efficient search of the optimal EF. The deterministic expression of the optimal EF boundary is derived from the Hamilton equation of PMP. By combining the optimal EF boundary and differential evolution algorithm, a novel fusion adaptive ECMS (A-ECMS) is proposed to demonstrate the application of the proposed boundary in the framework of model predictive control (MPC). Two different simulations with and without prior knowledge of driving cycle were respectively conducted, and the simulation results verify the feasibility of optimal EF boundary and manifest that the energy savings by the proposed A-ECMS can reach more than 97% of dynamic programing, highlighting the superior performance of the proposed strategy.

关键词： Energy management State of charge Electronic countermeasures Optimization Fuels Engines Batteries Plug-in hybrid electric vehicles (PHEVs) equivalent fuel consumption minimum strategy (ECMS) Hamilton equation equivalent factor (EF) boundary differential evolution algorithm

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Learning rules for Sugeno ANFIS with parametric conjunction operations

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APPLIED SOFT COMPUTING 2020年第0期89卷 106095-000页

作者： Cortes-Antonio, Prometeo Batyrshin, Ildar Martinez-Cruz, Alfonso Villa-Vargas, Luis A. Ramirez-Salinas, Marco A. Rudas, Imre Castillo, Oscar Molina-Lozano, Heron Tijuana Inst Technol Tijuana Mexico Inst Politecn Nacl Ctr Invest Comp Av Juan de Dios Batiz Ciudad De Mexico 07738 Mexico Dept Ciencias Comp INAOE Puebla Mexico Obuda Univ Becsiut 96b H-1034 Budapest Hungary

The paper presents a Sugeno Adaptive Neuro-Fuzzy Inference System with parametric conjunction operations architecture, ANFIS-CX. The advantages of using parametric conjunction operations in fuzzy models are discussed, and learning rules for system identification with such operations are proposed. These learning strategies can include steepest descent gradient, differential evolution and least square estimation algorithms for tuning antecedent, conjunction, and consequent parameters, respectively. The results of system identification by parameter tuning of conjunction operations in addition to or instead of parameter tuning of the input membership functions are presented. Simulation results show that parameter training in conjunction operations, composed of four basic t-norms, significantly improves the approximation capability of fuzzy models. (C) 2020 Elsevier B.V. All rights reserved.

关键词： ANFIS Fuzzy system differential evolution algorithm Learning rule Parametric fuzzy conjunction t-norm

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AutoBRB: An automated belief rule base model for pathologic coresmplete response prediction in gastric cancer

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COMPUTERS IN BIOLOGY AND MEDICINE 2022年 140卷 105104-105104页

作者： Wu, Jie Wang, Qianwen Wang, Zhilong Zhou, Zhiguo Shaanxi Normal Univ Sch Comp Sci Minist Educ Key Lab Modern Teaching Technol Xian Peoples R China Peking Univ Canc Hosp & Inst Key Lab Carcinogenesis & Translat Res Minist EducDept Radiol Beijing Peoples R China Univ Cent Missouri Sch Comp Sci & Math Warrensburg MO 64093 USA

Gastric cancer is one of the most severe malignant lesions. Neoadjuvant chemotherapy (NAC) has proven to be an effective method in gastric cancer treatment, and patients who achieved the pathologic complete response (pCR) after NAC can improve survival time further. To accurately predict pCR in an interpretable way, a new automated belief rule base (AutoBRB) model is developed with careful data analysis in this paper. In AutoBRB, to determine the referential values that are important for the rule building, both the information gain ratio and expert knowledge are used, while a table-based strategy is designed to initialize the belief degrees for each rule. Then, the differential evolution (DE) algorithm is employed and modified for model optimization to improve the model's performance. Finally, with the help of training data, an adaptive searching strategy is designed to set the confidence threshold for the final prediction. The experimental results demonstrate that AutoBRB shows a more reasonable performance on the prediction of pCR.

关键词： Belief rule base differential evolution algorithm Evidential reasoning Gastric cancer Pathologic complete response

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Two-modal resonance control with an encapsulated nonlinear energy sink

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JOURNAL OF SOUND AND VIBRATION 2022年 520卷 116667-116667页

作者： Geng, Xiao-Feng Ding, Hu Shanghai Univ Sch Mech & Engn Sci Shanghai Key Lab Mech Energy Engn Shanghai 200444 Peoples R China

Nonlinear energy sink (NES) has received extensive attention as a broadband vibration control strategy. Generally, the vibration of the NES vibrator is unconstrained. Moreover, the vibration suppression is for a single modal resonance. In this paper, an encapsulated NES (E-NES) is proposed to control two resonance modes. Meanwhile, a strategy for optimizing two-resonance mode is also proposed. In practical applications, the vibration of the NES vibrator needs to be limited within a certain range. The vibration of the vibrator of the proposed E-NES is limited by a spring and a damping capacity with a gap. A dynamic model with non-smooth nonlinearity of a two degree-of-freedom (two-DOF) system coupled with an E-NES is established. The non-smooth model is fitted by a hyperbolic tangent function. Then the continuous nonlinear model is analyzed approximately analytically and simulated numerically. The experimental platform is designed to verify the effectiveness of theoretical research. Moreover, the E-NES parameters are optimized by the differential evolution algorithm. The results show that the optimized design of the E-NES can achieve almost 90% suppression efficiency for both resonance peaks. On the whole, the proposed NES is a promising vibration control strategy due to its lower cost and high efficiency. Moreover, this NES can be accommodated in a box, which presents strong convenience in engineering.

关键词： Nonlinear energy sink Piecewise nonlinearity Vibration suppression Harmonic balance method differential evolution algorithm

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