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Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review 5

Hyper-parameter Optimization in the context of Smart Manufac...

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5th International conference on Industry 4.0 and Smart Manufacturing (ISM)

作者： Chernigovskaya, Maria Nahhas, Abdulrahman Kharitonov, Andrey Turowski, Klaus Otto von Guericke Univ Magdeburg Res & Competence Cluster Very Large Bus Fac Comp Sci Univ Pl 2 D-39106 Magdeburg Germany

Smart manufacturing involves the use of a variety of automation solutions, such as robotics, machines with embedded software, and advanced sensors collecting vast quantities of data. Efficient control of a complex composition of such solutions, as well as the analysis of the collected data, are essential for improving the efficiency of the production processes and decision-making. Data analysis and process optimization are enabled through the application of state-of-the-art optimization and machine learning algorithms. However, the efficient use of these algorithms often depends on the careful selection of the parameters, which on its own is a process that requires a high degree of expertise and time. Therefore, another class of algorithms can be applied that is designed to discover the optimal parameter configuration given the specific nature of the manufacturing process and the used algorithm. In this work, we systematically analyze the published literature to discover which parameter selection techniques are used in the context of Industry 4.0, for which processes, and how these benefit from automated parameter selection. Within our literature review, we discover nine relevant publications, most of which concentrate on parameter selection for machine learning algorithms through various numerical optimization and metaheuristic techniques. (C) 2024 The Authors. Published by Elsevier B.V.

关键词： Hyper-parameters optimization Smart Manufacturing Industry 4.0 automation

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Optimization of robot machining process parameters based on multi-feature signal fusion analysis 24

Optimization of robot machining process parameters based on ...

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4th International conference on control and Intelligent Robotics, ICCIR 2024

作者： Zhang, Beiqing Jiao, Li Gao, Yuhang Ma, Senjie Qiu, Tianyang School of Mechanical Engineering Beijing Institute of Technology Haidian District Beijing100081 China Key Laboratory of Fundamental Science for Advanced Machining Beijing Institute of Technology Haidian District Beijing100081 China

ISBN: (纸本)9798400709937

Industrial robots have the advantages of good flexibility, low manufacturing cost, high processing efficiency, high level of automation, compared with the traditional machine tool processing, there are better prospects for application in the holistic processing of mass and sophisticated components. But, given the weak structural stiffness performance of the robot, resulting in poor milling accuracy, it is difficult to meet the actual processing quality requirements. For this reason, this paper takes the aerospace module bracket as the research object, proposes the machining quality control method based on the optimization of process parameters, carries out the orthogonal test of robotic milling, researches the impact of process parameters on cutting force, cutting vibration, and surface quality, and adopts the gray correlation method to optimize the milling process parameters, and finally realizes the quality control of robotic machining. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Milling (machining)

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Cascade control of Wireless Charging LCC-LCC Structure Based on ADRC 7

Cascade Control of Wireless Charging LCC-LCC Structure Based...

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7th IEEE advanced Information Technology, Electronic and automation control conference, IAEAC 2024

作者： Zhou, Yang Li, Baoying Dalian Polytechnic University School of Information Science and Engineering Dalian China

ISBN: (纸本)9798350339161

In the context of the widespread popularity of electric vehicles, wired charging has various limitations, while wireless charging has become a research hotspot due to its safety in avoiding physical contact, sparks and leakage risks, strong environmental adaptability, and convenient charging. This article proposes a secondary closed-loop control method based on ADRC for wireless charging LCC-LCC compensation structure, to achieve precise control of the output power of the wireless charging system and solve the problem of output current voltage deviation from the target value caused by external or self parameter disturbances during the working process of the wireless charging system. This method utilizes secondary closed-loop control technology and ADRC algorithm to dynamically adjust and optimize the wireless charging system, ensuring its stability and reliability in complex dynamic environments. This study conducted a theoretical analysis of the system, and then used Simulink simulation to compare the constant current control of the primary LCC-LCC and the PID control and ADRC control of the secondary LCC-LCC. The experimental results show that the primary constant current control and secondary closed-loop control method proposed in this paper can effectively improve the performance of wireless charging systems. Under working conditions, the control effects of ADRC controller and PI controller are compared, and the results show that ADRC controller has better control performance. © 2024 IEEE.

关键词： controllers

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An improved device for automated control of mass transfer processes used in distillation units 3

An improved device for automated control of mass transfer pr...

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3rd International conference on Digital Technologies, Optics, and Materials Science, DTIEE 2024

作者： Muhitdinov, Djalolitdin Yusupov, Azamat Safarov, Elyor Igamberdiyev, Anvarjon Sultanov, Ildar Tashkent State Technical University Named After Islam Karimov 2A University Tashkent100095 Uzbekistan Andijan machine-building institute 56 Babur Ave. Andijan170119 Uzbekistan

ISBN: (纸本)9781510681590

In this work, the degree of automation of mass transfer devices for processing by-products of ethyl alcohol production is analyzed;in this regard, a number of shortcomings are identified, one of which is the optimal automated control of the process of rectification of by-products for the extraction of high-molecular-weight products. alcohols, in our case from non-standard fusel oils. In accordance with the topic, an automated advanced control device for a distillation unit for processing by-products of ethanol production has been developed. An optimal automated control device was developed and a comparative analysis was carried out in the Simulink environment of PID and MPC controllers, as a result of which a more advanced device for automated control of mass transfer processes was proposed. © 2024 SPIE.

关键词： Feedback

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32nd Mediterranean conference on control and automation, MED 2024

作者： Bryne, Torleiv H. Basso, Erlend A. Schmidt-Didlaukies, Henrik M. Norwegian University of Science and Technology TrondheimNO-7491 Norway

ISBN: (纸本)9798350395440

Derivations of the Kalman filter that ensure optimality with respect to minimum variance typically assume that the process and measurement noise are uncorrelated. However, several works have presented generalized formulations of the Kalman filter where correlated measurement and process noise is permitted. This paper revisits the problem of correlated noise in the context of initialization and leveling for inertial navigation systems. We show how the discretized process and measurement noise covariance matrices can be calculated and applied in a discrete-time Kalman filter. These results are used in an error-state extended Kalman filter implementation which is experimentally tested using a data set from a fixed-wing unmanned aerial vehicle flight together with a simulation study. The simulation and experimental results both indicate that formally addressing the process and the measurement noise correlation during inertial navigation system initialization has little to no impact in our use case. © 2024 IEEE.

关键词： Inertial navigation systems

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Trajectory Planning for Minimizing Floating Pedestal Disturbance of Spatial Dual-Arm Robots 43

Trajectory Planning for Minimizing Floating Pedestal Disturb...

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43rd Chinese control conference, CCC 2024

作者： Zhang, Hui Zuo, Xiaozhong Zhang, Wei Gao, Sheng Shenyang Jianzhu University College of Electrical and Control Engineering Shenyang110168 China Shenyang Institute of Automation Chinese Academy of Sciences State Key Laboratory of Robotics Shenyang110016 China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai200120 China

ISBN: (纸本)9789887581581

This paper addresses the trajectory planning problem of a spatial dual-arm robot and proposes a method to minimize the floating pedestal perturbation using a nonlinear planning method. The joint angle of the dual-arm robot is the optimization variable, and the positioning accuracy of the end-effector and the pedestal disturbance are the optimization objective and constraints, respectively. A constrained multi-objective optimization problem is formulated, and the kinematic model of the robot is established by parameterizing the joint trajectory. A penalty factor and a collision detection mechanism are applied to ensure the safety of the planning process. A nonlinear planning method is used to solve the optimization problem and obtain the optimal joint trajectory of the dual-arm robot. Simulation results demonstrate that the proposed method effectively reduces the base disturbance while ensuring the positioning accuracy of the end-effector. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： End effectors

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Design and Automated control of Pasteurization process in Dairy Industry Using S7-300 PLC and HMI 19th

Design and Automated Control of Pasteurization Process in Da...

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19th control Instrumentation System conference, CISCON 2022

作者： Kumaresan, K. Deepa, R. Dhanasekar, R. Monisha, C. Carolin Dasaprakash, C. Priyavarshini, G.U. Department of Electronics and Instrumentation Engineering Bannari Amman Institute of Technology Sathyamangalam Tamil Nadu Sathyamangalam638401 India

ISBN: (纸本)9789819995530

This paper presents the design and automation control of milk pasteurization process in the dairy industry using a Siemens S7-300 PLC and online monitoring with a Siemens TP 700 comport HMI panel. Pasteurization is the process of heating milk and food to a constant temperature for a certain period of time and then quickly cooling them after they have been removed from the heating process. This process decreases the growth of microorganisms in milk and prevents milk contamination. Pasteurization is the most important stage in quality milk production. In this study, the S7-300 PLC is used for accurate monitoring and control of the analog parameters like temperature, flow, and pressure in the pasteurization process tank along with sensors and actuators. The Model Predicative control (MPC) algorithm is used for nonlinear process and human machine interface screens for pasteurization processes are developed using Step7 and WinCC software. The advanced most standard Profinet communication protocol is used to configure programming devices between the PLC controller and HMI. Step7 trend results show that the temperature control in the pasteurization process takes less settling time while eliminating overshoot and increasing the product quality and lifetime. The most widely used PLC-based automation control approach in the industry, owing to its undeniable simplicity, quick response, high production in less time, low implementation, and maintenance cost. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Microorganisms

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Model-Free H2/H∞ Predictive control for Discrete-Time System via Q-Learning 13

Model-Free H2/H∞ Predictive Control for Discrete-Time Syste...

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13th IEEE Data Driven control and Learning Systems conference, DDCLS 2024

作者： Lin, Yihong He, Peng Wan, Haiying Liu, Zhuangyu Luan, Xiaoli Liu, Fei Institute of Automation Jiangnan University Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Wuxi214122 China

ISBN: (纸本)9798350361674

This paper presents a model-free H2/H∞ Q-learning predictive control strategy for linear discrete-time systems. To design predictive controller with the system measured states, a policy iteration solution algorithm is employed to approximate the control inputs. Specifically, the developed algorithm is formulated in the form of linear matrix inequalities, designed to stabilize the system with mixed H2/H∞ control performance. Additionally, to improve robust performance under system disturbance variations, we introduce the receding horizon optimization into the Q-learning based predictive control. Finally, simulation results demonstrate the effectiveness of the proposed approach. © 2024 IEEE.

关键词： H2/H∞ performance index Model-free predictive control Q-learning Receding horizon optimization Unknown discrete-time systems

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Research on Friction Compensation Feedforward control for Linear Motors Based on the Prandtl-Ishlinskii Model

Research on Friction Compensation Feedforward Control for Li...

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2024 International conference on advanced Mechatronic Systems, ICAMechS 2024

作者： Xu, Xinlong Yu, Jun Wang, Yixiang Zhongyuan University of Technology School of Automation and Electrical Engineering Zhengzhou China Zhongyuan University of Technology School of Zhongyuan-Petersburg Aviation Zhengzhou China

ISBN: (纸本)9798350366204

The feeding axis driven by linear motors experiences nonlinear changes in friction resistance during the feeding process, making high-precision drive control difficult. By combining modeling and experiments, the Prandtl-Ishlinskii model is applied as the representative model for the linear motor servo system. The Prandtl-Ishlinskii model of the linear motor servo system is identified using output displacement as the system feedback signal. Based on this model, a friction compensation feedforward control scheme is proposed to compensate for nonlinear friction resistance. A comparative control study with and without feedforward control uses a self-built linear motor servo drive mechanism as the experimental platform. The results indicate that the proposed feedforward control scheme significantly improves the position-tracking accuracy of the linear motor servo system, reducing the relative error from 6.8% to 1.6% while tracking a sine curve. © 2024 IEEE.

关键词： Feedforward control

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A Digital twin-driven Framework for the Online Prediction and control of Assembly Quality toward the Solid Rocket Engine 6

A Digital twin-driven Framework for the Online Prediction an...

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6th IEEE advanced Information Technology, Electronic and automation control conference (IEEE IAEAC)

作者： Ma, Dongxu Zhou, Guanghui Zhang, Chao Men, Songchen Zou, Yongchen Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Peoples R China Xi An Jiao Tong Univ Lab Mfg Syst Engn Xian 710054 Peoples R China

ISBN: (数字)9781665458641

ISBN: (纸本)9781665458641

With the rapid development of new generation technologies, the digital twin (DT) has become a core focus for the solution of assembly process in the fourth industrial evolution. So, based on DT, aiming at the unobservable, unpredictable, and uncontrollable problems during the assembly process of complex products like large solid rocket engines, we propose a digital twin-driven framework for online prediction and control method toward assembly quality for complex products. Under this framework, firstly, the high-fidelity modeling method is presented involving 3D CAD and assembly quality model based on point cloud towards unobservable problems. Secondly, online deviation traceability and quality prediction are introduced to aim at unpredictable problems. Thirdly, intelligent regulation and control mechanism for assembly quality based on DT, AR, deep learning, etc. is developed for uncontrollable problems in assembly process. Finally, the large rocket engine nozzle is taken as a case to verify the entire framework and method effectiveness.

关键词： Digital twin DT Assembly quality control and prediction Solid rocket engine nozzle Assembly process

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