Papers - OHMORI Hiromitsu

Simple Adaptive Control for a Diesel Engine Air Path System

Eguchi M., Zhang X., Sakai D., Ohmori H., Hayashi T., Hirata M., Takahashi M., Yamasaki Y., Kaneko S.

2019 12th Asian Control Conference, ASCC 2019 (2019 12th Asian Control Conference, ASCC 2019)     103 - 107 2019.06

ISSN  9784888983006

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© 2019 JSME. In this paper, we propose a model-based diesel engine air path control system using the simple adaptive control scheme. By using this proposed control system, we can design a robust controller with respect to change of environment, disturbances and nonlinearity of the air path system. We confirm the effectiveness of this proposed system by the simulation using an air path model based on physics and the experiment.

Solar parabolic trough thermal energy output forecasting based on K-Nearest Neighbors approach

Jafferi Jamaludin and Hiromitsu Ohmori,

2019 the 3rd International Conference on Sustainable Energy Engineering (ICSEE 2019) (Shanghai China)   2019.05

Research paper (international conference proceedings), Accepted

olar parabolic trough thermal energy output forecasting based on K-Nearest Neighbors approach

Jafferi Jamaludin and Hiromitsu Ohmori

2019 the 3rd International Conference on Sustainable Energy Engineering (ICSEE 2019) (Sustainable Energy Engineering)   2019.05

Research paper (international conference proceedings), Corresponding author, Accepted

Subspace-Based Algorithms for Localization and Tracking of Multiple Near-Field Sources

Zuo W., Xin J., Ohmori H., Zheng N., Sano A.

IEEE Journal on Selected Topics in Signal Processing (IEEE Journal on Selected Topics in Signal Processing)  13 ( 1 ) 156 - 171 2019.03

ISSN  19324553

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© 2007-2012 IEEE. In this paper, we investigate the problems of estimating and tracking the location parameters [i.e., directions-of-arrival (DOAs) and ranges] of multiple near-field (NF) narrowband sources impinging on a symmetric uniform linear array, and a simple subspace-based algorithm for localization of NF sources (SALONS) is presented, where the computationally burdensome eigendecomposition and spectrum peak searching are avoided. In the SALONS, the DOAs and ranges are estimated separately with a one-dimensional subspace-based estimation technique, where the null spaces are obtained through the linear operation of the correlation matrices formed from the antidiagonal elements of the noiseless array covariance matrix, and the estimated DOAs and ranges are automatically paired without any additional procedure. Then the statistical analysis of the presented batch SALONS is studied, and the asymptotic mean-squared-error expressions of the estimated DOAs and ranges are derived. Furthermore, an online algorithm is developed for tracking the multiple moving NF sources with crossover points on their trajectories. The effectiveness and the theoretical analysis of the presented algorithms are verified through numerical examples, and the simulation results show that the proposed algorithms provide good estimation and tracking performance for DOAs and show satisfactory estimation and tracking performance for ranges.

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小脳演算モデルコントローラを用いたフィードバック誤差学習によるディーゼルエンジンの燃焼制御

江口誠、大森 浩充、高橋幹, 山崎由大、金子成彦

自動車技術会論文集 (自動車技術会)   2019.01

Research paper (scientific journal), Joint Work, Accepted

Localization of Near-Field Sources Based on Linear Prediction and Oblique Projection Operator

Weiliang Zuo, Jingmin Xin (Xi’an Jiaotong Univ.), Hiromitsu Ohmori (Keio Univ.), Nanning Zheng (Xi’an Jiaotong Univ.), and Akira Sano (Kieo Univ.)

IEEE Transactions on Signal Processing (IEEE)  67 ( 2 ) 415 - 430 2019.01

Accepted,  ISSN  941-0476

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© 1991-2012 IEEE. This paper investigates the localization of multiple near-field narrowband sources with a symmetric uniform linear array, and a new linear prediction approach based on the truncated singular value decomposition (LPATS) is proposed by taking an advantage of the anti-diagonal elements of the noiseless array covariance matrix. However, when the number of array snapshots is not sufficiently large enough, the 'saturation behavior' is usually encountered in most of the existing localization methods for the near-field sources, where the estimation errors of the estimated directions-of-arrival (DOAs) and ranges cannot decrease with the signal-to-noise ratio. In this paper, an oblique projection based alternating iterative scheme is presented to improve the accuracy of the estimated location parameters. Furthermore, the statistical analysis of the proposed LPATS is studied, and the asymptotic mean-square-error expressions of the estimation errors are derived for the DOAs and ranges. The effectiveness and the theoretical analysis of the proposed LPATS are verified through numerical examples, and the simulation results show that the LPATS provides good estimation performance for both the DOAs and ranges compared to some existing methods.

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Solar parabolic trough thermal energy output forecasting based on K-Nearest Neighbors approach

Jafferi Jamaludin and Hiromitsu Ohmori

Earth and Environmental Science (ESS) (IOP Science The Open access IOP Conference Series)  342 ( 1 )  2019.01

Research paper (scientific journal), Corresponding author, Accepted

Evaluation for Maximum Hosting Capacity of Distributed Generation considering Active Network Management

Ikeda S., Ohmori H.

International Journal of Electrical and Electronic Engineering and Telecommunications (International Journal of Electrical and Electronic Engineering and Telecommunications)  7 ( 3 ) 96 - 102 2018.07

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© 2018 Int. J. Elec. & Elecn. Eng. & Telcomm. With the increasing penetration of renewable Distributed Generation (DG), it is important to assess the Maximum Hosting Capacity (MHC) in active distribution networks. Active Network Management (ANM) such as coordinated voltage control, reactive power compensation, DG curtailment, DG power factor control, network reconfiguration and demand response can play an important role in increasing the MHC. The MHC evaluation problem considering all the above elements of ANM can be formulated as a mixed integer nonlinear programming model. However, this original nonconvex model cannot guarantee convergence to optimality. This paper proposes the mixed integer second-order cone programming model for evaluating the MHC, by using exact linearization and second-order cone relaxation. The modified IEEE 33-bus test system is used to demonstrate the effectiveness of the proposed model and analyze the effect of each ANM element on the MHC increase. The results show that when considering all the above elements of ANM, the gain of the MHC is greater than 62%.

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Optimal sizing of photovoltaic systems for loss minimization in distribution network

Ikeda S., Takeda A., Ohmori H.

SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems (SICE ISCS 2018 - 2018 SICE International Symposium on Control Systems)  2018-January   185 - 192 2018.04

ISSN  9784907764586

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© 2018 The Society of Instrument and Control Engineers - SICE. The use of photovoltaics (PV) in electric power networks has increased because of advantages such as power loss reduction, environmental friendliness, voltage profile improvement, and postponement of system upgrades. However, using PVs of an inappropriate size leads to greater power losses due to variations in PV outputs and demand loads. Therefore, it is necessary to determine the optimal size of PVs. When one considers the various weather conditions and demand load profiles, the optimal PV sizing problem (OPSP) becomes a large-scale optimization that is difficult to solve. In this paper, to resolve this computational issue, we formulate the OPSP as a second-order cone programming model and propose a decomposition using the subgradient method for solving the partial Lagrangian dual problem. We implemented the proposed method on a 47-bus distribution feeder model, and the simulation results proved its viability.

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Diesel Engine Combustion Control using Feedback Error Learning with Artificial Intelligence-Feedforward Controller

OHMORI HIROMITSU

自動車技術会論文集 (自動車技術会)  49 ( 2 ) 230 - 234 2018.03

Research paper (scientific journal), Joint Work, Accepted

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現在のディーゼルエンジン燃焼制御は, 静的マップによるフィードフォワード制御を行うことが主流である．本研究では，フィードバック誤差学習（FEL)の制御構造を保存して，フィードフォワード制御器をAI（人工知能）の技術を用いてオンライン適応・学習させ，ドライバーや環境に積極的に適応・学習できる制御系を提案している．設計された制御アルゴリズムの有効性を確認するために，東大離散化ディーゼルエンジンモデルに対する数値シミュレーションと東大エンジンベンチによる実証実験実施する．

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Online Parameter Estimation for Lithium-ion Battery by using Adaptive Observer for Fractional Order System

Naohiro Takamatsu、OHMORI HIROMITSU

Electronics and Communications in Japan (2018 Wiley Periodicals, Inc.)  101 ( 3 ) 80 - 89 2018.01

Research paper (scientific journal), Joint Work, Accepted,  ISSN  19429533

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Due to the prevalence of Li‐ion battery, the importance of the battery management system (BMS) is increasing. BMS is the system for managing the operation of batteries and monitoring their state of health. By using the observer containing parameter estimator for analyzing the equivalent circuit model of batteries, the online diagnosis of the batteries becomes possible. However, the Li‐ion battery has complicated dynamics derived from the Warburg impedance, which described the diffusion phenomena of the Li‐ion. Applying fractional calculus to the expression of the system, the dynamics of Warburg impedance can be described simply. By designing the adaptive observer which can treat the system described as fractional‐order system, it is expected to become possible to identify equivalent circuit containing Warburg element online without approximation. In this paper, we designed the Kreisselmeier‐type adaptive observer for the linear fractional‐order system. Then, we applied the proposed observer to the half‐cell of the lithium‐ion battery modeled by Randles circuit under semi‐infinite linear diffusion, and confirm the effectiveness of proposed adaptive observer by numerical simulation.

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Diesel Engine Combustion Control Based on Cerebellar Model Articulation Controller (CMAC) in Feedback Error Learning

Zhang X., Eguchi M., Ohmori H.

IFAC-PapersOnLine (IFAC-PapersOnLine)  51 ( 31 ) 516 - 521 2018

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© 2018 The trend started in 1997 with the introduction of common rail injection and after some protocols set new targets for overall CO2 emissions. As the diesel engine emits less CO2 than its gasoline counterpart, it kept conquering more and more market shares. Conventional diesel engine control design is mainly based on the maps techniques which required too much time, money and human resources under the number of experiments under various environmental conditions. This makes increasing system complexity. In our authors group, we have proposed that the control structure has the feedback error learning, two-degree-of-freedom controller configuration, with advanced neural networks (NNs) as the feedforward controller along the model-based control method. On the other hand, a cerebellar model articulation controller (CMAC) is a non-fully connected perceptron like associative memory network with overlapping receptive fields, which is used to resolve problems that involve rapid growth and the learning difficulty. Then CMACs have the advantages of good generalization capability, fast learning ability, and simple computation. To our best knowledge, this is new introduce the cerebellar model articulation controller (CMAC) for the control diesel engine combustion control. The effectiveness of the proposed method will be confirmed through numerical simulations based on the Tokyo University diesel engine model with triple fuel injections.

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Formulation and Evaluation of Long-Term Allocation Problem for Renewable Distributed Generations

Tanaka Ikki, Yuge Hirokana, OHMORI HIROMITSU

IET Renewable Power Generation (RPG) (The Institute of Engineering and Technology（IET))  11 ( 12 ) 1584 - 1596 2017.11

Research paper (scientific journal), Accepted,  ISSN  1752-1424

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分数階システムを対象とした適応観測器によるリチウムイオン電池のオンライン・パラメータ推定

OHMORI HIROMITSU

電気学会論文誌 C（電子・情報・システム部門誌） (電気学会)  137 ( 8 ) 1015 - 1023 2017.04

Research paper (scientific journal), Joint Work, Accepted

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L1 Adaptive Control for Single-Input Multiple-Output(SIMO) Non-Homogeneous System with MR damper Semi-Active Suspension

Yongyut Uppatthangkul, HIROMITSU OHMORI

SICE Journal of Control, Measurement, and System Integration (SICE JCMSI) (The Society of Instrument and Control Enfineers)  10 ( 3 ) 243 - 252 2017.03

Research paper (scientific journal), Joint Work, Accepted,  ISSN  1882-4889

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This paper proposes a control method of the magnetorheological (MR) damper semi-active suspension controlling system with an L1 adaptive controller. The suspension system can be represented as a non-homogeneous system. Therefore, the proposed controller design method is introduced for avoiding the solving process of the convolution of a transfer matrix in the non-homogeneous system and guaranteeing the performance of the system within an acceptable level. The result, which is simulated by MATLAB/SIMULINK, proves that the proposed control architecture can work well for reducing calculation process. Moreover, this method is compared with the auto-tuned PID function in SIMULINK; as a result, the method shows a better overall performance by adjusting a few parameters.

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Method Evaluation for Short-Term Wind Speed Prediction Considering Multi Region in Japan

Ikki Tanaka, HIROMITSU OHMORI

Journal of Robotics and Mechatronics (Fuji Technology Press LTD.)  28 ( 5 ) 681 - 686 2016.10

Research paper (scientific journal), Accepted,  ISSN  0915-3942

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Sliding Mode Controller Design based Backstteping Technique for Fractional Order System

Takahiro Takamatsu, HIROMITSU OHMORI

SICE Journal of Control, Measurement, and System Integration　(SICE JCMSI) (The Society of Instrument and Control Engineers)  9 ( ４ ) 151 - 157 2016.04

Research paper (other academic), Joint Work, Accepted,  ISSN  1882-4889

Decentralized Robust Control for Multi-Machine Power System

Wei Wang，OHMORI HIROMITSU

The 9th IFAC Symposium on Control of Power and Energy Systems (CPES9 2015)  2015.12

Research paper (international conference proceedings), Joint Work, Accepted

Decentralized Robust Output Feedback Control for Multi-machine Power System

Wei Wang，OHMORI HIROMITSU

The 2015 IEEE Multi-Conference on Systems and Control (MSC2015)  2015.09

Research paper (international conference proceedings), Joint Work, Accepted

State and Parameter Estimation of Lithium-ion Battery by Kreisselmeier-type Adaptive Observer for Fractional Calculus System

Takahiro Takamatsu，OHMORI HIROMITSU

The 34th Chinese Control Conference and SICE Annual Conference 2015 (計測自動制御学会)     ThB06-2 2015.07

Research paper (international conference proceedings), Joint Work, Accepted