2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)最新文献_第2页

Determining Manufacturing Condition Range Using a Causal Quality Model and Deep Learning 利用因果质量模型和深度学习确定制造条件范围

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859941

K. Horiwaki

引用次数: 2

Tracking Economic Optimum of a Continuous Fermenter using Adaptive Dual Nonlinear MPC 用自适应双非线性MPC跟踪连续发酵罐的经济最优

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859923

Kunal Kumar, S. Patwardhan, S. Noronha

{"title":"Tracking Economic Optimum of a Continuous Fermenter using Adaptive Dual Nonlinear MPC","authors":"Kunal Kumar, S. Patwardhan, S. Noronha","doi":"10.23919/SICE.2019.8859923","DOIUrl":"https://doi.org/10.23919/SICE.2019.8859923","url":null,"abstract":"Controlling a system exhibiting input multiplicity at its optimum operating point is a difficult task as the steady state gain matrix can be singular at the optimum operating point. Moreover, the optimum operating point can shift due to changes in the process parameters. To operate such a system profitably, it is necessary to locate and track the shifting economic optimum in the face of changing process parameters. In this work, we propose a frequent real time optimization (RTO) scheme that employs a Wiener type model parameterized using orthonormal basis filters (OBF) for locating the shifting optimum. Parameters of the Wiener model are identified online using the recursive least squares and further used for carrying out RTO as well as control tasks. The optimum setpoints that correspond to the shifting economic optimum are communicated to a control layer for tracking. Recently proposed adaptive dual nonlinear MPC (ADNMPC) is used for tracking the optimum setpoints. The ADNMPC algorithm is capable of injecting probing input signals into the system as and when required to enhance the learning ability of the recursive parameter estimation scheme while simultaneously performing the control task. The efficacy of the proposed control scheme is demonstrated by conducting simulation studies on a benchmark continuous fermentation system.","PeriodicalId":147772,"journal":{"name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128828617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Calibration Method of 3D Shape Measurement System Using 3D Scanner, Turn-table and Arm-robot 一种基于三维扫描仪、转台和臂机器人的三维形状测量系统标定方法

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8860071

H. Ukida, Tomoyo Sasao, K. Terada, Atsuya Yoshida

引用次数: 2

Swing up Control of Inverted Pendulum on a Cart with Collision by Monte Carlo Model Predictive Control 基于蒙特卡罗模型预测控制的碰撞小车倒立摆上摆控制

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859912

Shintaro Nakatani, H. Date

引用次数: 6

Microgrid Management with PV Power Prediction via Stochastic Distributed Optimization 基于随机分布优化的光伏发电功率预测微电网管理

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859902

Takumi Namba, S. Funabiki, K. Takaba

引用次数: 2

Optimum Design of Optical System for Free Space Optics Device by Ray Tracing 基于光线追踪的自由空间光学器件光学系统优化设计

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859914

Rintaro Shimogawa, K. Izumi, T. Tsujimura

引用次数: 0

Automatic Dam Safety Evaluation 大坝安全自动评价

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859862

U. Supakchukul, W. Laungnarutai, Paramarporn Jinthanakorn, Potcharapol Brohmsubha, Nanthiya Raphitphan, J. Suwatthikul, R. Vanijjirattikhan

引用次数: 3

A Countermeasure against Zero-dynamics Sensor Attack via Generalized Hold Feedback 基于广义保持反馈的零动态传感器攻击对策

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859930

Jihan Kim, H. Shim

引用次数: 1

Adaptive walk control for hexapod robot based on iterative model-checking and Timekeeper control 基于迭代模型检验和计时器控制的六足机器人自适应行走控制

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859889

Yuki Murata, S. Inagaki, Tatsuya Suzuki

{"title":"Adaptive walk control for hexapod robot based on iterative model-checking and Timekeeper control","authors":"Yuki Murata, S. Inagaki, Tatsuya Suzuki","doi":"10.23919/SICE.2019.8859889","DOIUrl":"https://doi.org/10.23919/SICE.2019.8859889","url":null,"abstract":"This paper proposes an adaptive walk control for a hexapod robot which is controlled on the basis of a gait control, Follow-the-Contact-Point (FCP) gait control. The FCP gait control is a decentralized and event-driven controller and decides the order and timing of the legs to contact on the ground. Thanks to that, The robot is capable to walk over various uneven terrain. However, adaptive and real-time adjustment of the timing is required to keep walking performance, such as deadlock-free and not to drag the feet on the ground. Therefore, in this paper, such the adjustment method for the FCP gait control is addressed. First, the behavior of each leg of the robot is modeled by a timed-automaton, and specifications that the robot should satisfy to keep walking performance are expressed by computational tree logic. Next, upper/lower boundaries of time which is elapsed in each control state of the FCP gait control are derived based on an algorithm which is utilizing model checking. Then, the adaptive method “Timekeeper control” to guarantee the time boundaries in real-time is proposed. Finally, the validity of the proposed method is verified through experiments in which a real hexapod robot walks on uneven terrain.","PeriodicalId":147772,"journal":{"name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129201257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Integrated Set-Point Learning for Iterative Learning Control 迭代学习控制的集成设点学习

2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2019-09-01 DOI: 10.23919/SICE.2019.8859895

A. V. Thomas, A. Tangirala

{"title":"Integrated Set-Point Learning for Iterative Learning Control","authors":"A. V. Thomas, A. Tangirala","doi":"10.23919/SICE.2019.8859895","DOIUrl":"https://doi.org/10.23919/SICE.2019.8859895","url":null,"abstract":"Iterative Learning Control (ILC) has risen to prominence in applications where a control operation is performed repeatedly. ILC capitalizes on the repetitive nature of the operation and aims at closely tracking the user defined set-point by exploiting information from preceding trials. This information is then used to update the control input for the upcoming one. However, in systems that employ ILC, the set-point value required to achieve the desired output is not always known. In this paper we propose Integrated Set-Point Learning on top of a Linear Quadratic Direct ILC(LQ-ILC) to determine the optimal set-point profile. This is done by iteratively updating the set-point profile using gradient based algorithms upon completion of an entire control sequence. The approach is demonstrated on two systems taken from different engineering domains. In the first example of the Constant Velocity Differential Drive Robot (CVDDR) the method optimizes the robot's set-point trajectory iteratively whilst also improving tracking over the course of runs. In the second example the method is implemented on the Cott-Batch Reactor (CBR) to achieve user desired end product quality. The inter run stability of the system is investigated numerically and simulation results obtained demonstrate the efficacy of the method.","PeriodicalId":147772,"journal":{"name":"2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123098890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0