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IMC based PID control Applied to the Benchmark PID18

IFAC-PapersOnLine 2018年第4期51卷 728-732页

作者： Cajo, Ricardo Zhao, Shiquan Ionescu, Clara M. De Keyser, Robin Plaza, Douglas Liu, Sheng Ghent University Faculty of Engineering and Architecture Research group on Dynamical Systems Control Technologiepark 914 ZwijnaardeB9052 Belgium Escuela Superior Politecnica del Litoral ESPOL Grupo de Investigación en Automatización y Control Industrial Campus Gustavo Galindo Km 30.5 Vía Perimetral Guayaquil09-01-5863 Ecuador Harbin Engineering University College of Automation China

In this paper an Internal Model control (IMC) based proportional-integral-derivative (PID) control is presented and evaluated on the benchmark system presented at the 3rdIFAC Conference on Advances in Proportional-Integral-Derivative control (PID 18). The controller is designed based on the model of the benchmark system. Its performance is compared with a computer-aided design tool based on frequency response (FRtool) and against the benchmark reference controller. The results show that the proposed method has a better performance due to the fact that IMC based PID parameters depend totally on the model. © 2018

关键词： Proportional control systems Benchmarking Computer aided design controllers Frequency response Model predictive control Multivariable systems Refrigeration Three term control systems Two term control systems Benchmark system Computer aided design tools FRtool Internal model control PID parameters Proportional integral derivative control Refrigeration system

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Development of deep sea ARV cables physical characteristics

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IOP Conference Series: Earth and Environmental Science 2020年第1期461卷

作者： Chen Peng Yang Shangkui Cao Yongzhan Zhu Shuyun Liu Yuwang Ge Zhuang Bai Shihong School of Mechanical Engineering Shenyang Ligong University 110000 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences 110000 China School of Mechanical Engineering and Automation Northeastern University 110000 China Information and Control Engineering Faculty Shenyang Jianzhu University 110000 China School of Automation and Electrical Engineering Shenyang Ligong University 110000 China

Aiming at the challenging frontier problem of umbilical cable properties theory, which has been puzzled by this kind of robot for many years but has not been solved yet, this paper proposes an umbilical cable properties modelling method based on Kirchhoff elastic bar theory. This method analyzes the force on the umbilical cable member in the equilibrium state, obtains the Kirchhoff equation of the mobile cable in the equilibrium state, and then establishes the physical characteristics model of the mobile cable, and obtains the form of umbilical cable and the stress on the end point by solving the model. The new modelling theory research on the physical characteristics of deep-sea umbilical cable carried out in this paper is expected to solve the problem of 'unclear' problems of deep-sea slender umbilical cable, get rid of the dilemma of 'blind man and elephant', and provide guarantee for the safe and efficient operation of deep-sea robots.

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Performance comparison of optimization techniques in EHS system using sliding mode controller

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IOP Conference Series: Materials Science and engineering 2020年第1期834卷

作者： M S Chai R Ghazali S H Chong C C Soon J Too Y M Sam Centre for Robotics and Industrial Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia. Control & Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Bahru Malaysia

Electro-Hydraulic Servo (EHS) system is a well-known nonlinear system in various types of industries due to its outstanding characteristics over other actuators. Despite its wide applications in industries, this system also suffering from nonlinearities and parameter uncertainties. Sliding Mode controller (SMC) has been proven by many researchers to be effective in positioning control of the nonlinear system. However, SMC controller parameters must be tuned in appropriate ways to control the EHS system. In this research, an SMC strategy which combines with an enhanced PSO called Multi-Objective Particle Swarm Optimization (MOPSO) is proposed in positioning control of the EHS system. The conventional PSO is design as well for comparison purpose. The output performance is analysed and verified using different performance indexes such as rise time, settling time, overshoot percentage, and root mean square error. The results show that the MOPSO is better in tuning the controller parameters.

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An Electro-Hydraulic Servo with Intelligent control Strategy

An Electro-Hydraulic Servo with Intelligent Control Strategy

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2017 Malaysian Technical Universities Conference on engineering and Technology, MUCET 2017

作者： Mohammed, Saeed Chee Soon, Chong Ghazali, Rozaimi Yusof, Ahmad Anas Md Sam, Yahaya Mau Shern, Chai Centre for Robotics and Industrial Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal Melaka76100 Malaysia Faculty of Mechanical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal Melaka76100 Malaysia Department of Control and Mechatronic Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia Skudai Johor81310 Malaysia

Versatile engineering applications have been developed to assist, reduce, and avoid human being from any heavy or harmful manufacturing processes. The gradually increased demand in force and position controls have simultaneously increased the usage of Electro-Hydraulic Servo (EHS) system. However, the time varying characteristics such as high-speed, outburst starting and stopping dynamic have led the EHS system to suffer from uncertainties and nonlinearities effects. Therefore, in order to enhance the performance of an EHS to surmount the uncertain and nonlinear effects, a hybrid Fuzzy-PID control strategy is developed which particularly improve the accuracy of the system by enhancing the control performance during the positioning tracking. By measuring the performance of the proposed control approach, the transient response and steady-state analysis will be performed which taking linear and intelligent control strategies as the references in the assessment process. The finding indicates the capability of a hybrid Fuzzy-PID controller in reducing the control effort applied to the EHS system. © The Authors, published by EDP Sciences, 2018.

关键词： Position control

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Bat Algorithm for Flexible Flow Shop Scheduling with Variable Processing Time

Bat Algorithm for Flexible Flow Shop Scheduling with Variabl...

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International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017

作者： Zhonghua, Han Boqiu, Zhu Hao, Lin Wei, Gong Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China Department of Digital Factory Shenyang Institute of Automation CAS Shenyang China School of Foreign Languages Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9783319659770

In order to solve the flexible flow shop scheduling problem with variable processing time (FFSP-VPT), it is analyzed, the paper analyzes the selection mode of processing time, jobs detection mode as well as rework mode, sets up FFSP-VPT mathematical model and puts forward a two-step encode mode for FFSP-VPT. By means of simulation experiment, the results are compared to mature genetic algorithm and differential evolution algorithm so that effectiveness of bat algorithm will be verified to solve practical production of FFSP-VPT. © 2018, Springer International Publishing AG.

关键词： Hamming distance

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Active disturbance rejection control design with suppression of sensor noise effects in application to DC-DC buck power converter

arXiv

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arXiv 2020年

作者： Lakomy, Krzysztof Madonski, Rafal Dai, Bin Yang, Jun Kicki, Piotr Ansari, Maral Li, Shihua The Poznaá Universitńy of Technology Poznan60-965 Poland The Energy Electricity Research Center International Energy College Jinan University Zhuhai519070 China The School of Automation Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210096 China The Institute of Robotics and Machine Intelligence Poznań University of Technology Poznań60-965 Poland The Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW2007 Australia

The performance of active disturbance rejection control (ADRC) algorithms can be limited in practice by high-frequency measurement noise. In this work, this problem is addressed by transforming the high-gain extended state observer (ESO), which is the inherent element of ADRC, into a new cascade observer structure. Set of experiments, performed on a DC-DC buck power converter system, show that the new cascade ESO design, compared to the conventional approach, effectively suppresses the detrimental effect of sensor noise over-amplification while increasing the estimation/control performance. The proposed design is also analyzed with a low-pass filter at the converter output, which is a common technique for reducing measurement noise in industrial applications. Copyright © 2020, The Authors. All rights reserved.

关键词： Spurious signal noise

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GPPT: Graph pyramid pooling transformer for visual scene

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Neurocomputing 2025年 647卷

作者： Li, Zhi-Peng Liu, Wen-Jian Sun, Xin Pan, Yi-Jie Gribova, Valeriya Filaretov, Vladimir Fedorovich Cohn, Anthony G. Huang, De-Shuang Ningbo Institute of Digital Twin Eastern Institute of Technology Tongxin Road No. 568 Zhejiang Ningbo315201 China Faculty of Data Science City University of Macau 999078 China MEGAROBO Technologies Linglong Street No. 88 Jiangsu Suzhou215128 China College of Electronic and Information Engineering Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing211106 China Institute of Automation and Control Processes Far Eastern Branch of Russian Academy of Sciences Russia School of Computing University of Leeds LeedsLS2 9JT United Kingdom Institute for Regenerative Medicine Medical Innovation Center and State Key Laboratory of Cardiology Shanghai East Hospital School of Life Sciences and Technology Tongji University Shanghai200123 China

In the field of computer vision, network architectures are critical to the performance of tasks. Vision Graph Neural Network (ViG) has shown remarkable results in handling various vision tasks with their unique characteristics. However, the lack of multi-scale information in ViG limits its expressive capability. To address this challenge, we propose a Graph Pyramid Pooling Transformer (GPPT), which aims to enhance the performance of the model by introducing multi-scale feature learning. The core advantage of GPPT is its ability to effectively capture and fuse feature information at different scales. Specifically, it first generates multi-level pooled graphs using a graph pyramid pooling structure. Next, it encodes features at each scale using a weight-shared Graph Convolutional Neural Network (GCN). Then, it enhances information exchange across scales through a cross-scale feature fusion mechanism. Finally, it captures long-range node dependencies using a transformer module. The experimental results demonstrate that GPPT achieves exceptional performance across various visual scenes, including image classification, and object detection, highlighting its generality and validity. © 2025 Elsevier B.V.

关键词： Convolutional neural networks

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Target tracking based on neural network depth feature and texture fusion

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IOP Conference Series: Earth and Environmental Science 2020年第1期461卷

作者： Yongzhan Cao Meiju Liu Shanykui Yang Guodong Yang Peng Chen Shuyun Zhu Zhuang Ge Yuwang Liu Information and Control Engineering Faculty Shenyang Jianzhu University Shenyang Liaoning 110168 China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China School of Mechanical Engineering and Automation Northeastern University 3 Wenhua Street Shenyang 110819 China

This paper presents a method of target tracking based on convolution neural network and texture feature fusion. The lower layer of the convolutional neural network can extract some spatial structure, shape and other features of the target. High-level level can extract relatively abstract semantic information. In this paper, vgg-m convolutional neural network is adopted to realize tracking by adaptive fusion of the extracted depth features of Conv2 and Conv5 with the texture features extracted by two-dimensional Gabor filtering. In this paper, the experimental analysis of this method is carried out on the OTB2013 data set, and the results show that this method can achieve more accurate positioning of the target and has a strong timeliness.

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A comparative study above two self-tuning controllers with aplication to the control of synchronous generator excitation system

arXiv

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arXiv 2018年

作者： Filip, Ioan Curiac, Daniel Prostean, Octavian Szeidert, Iosif "Politehnica" University of Timisoara Faculty of Control Engineering and Computer Sciences Department of Automation and Industrial Informatics

This paper presents two self-tuning control structures synthesized through the minimization of two criterion functions. It is described the computation methodology of the control laws, both being particularized for the case of the synchronous generator's excitation control. The parameters estimator is considered the recursive least square error (RLSE) algorithm. In order to validate the considered control structures, two comparative study cases by computer simulation are presented. Copyright © 2018, The Authors. All rights reserved.

关键词： Adaptive control systems

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Processing and monitoring algorithm for solar-powered smart home in DC-environment system based on RF-radio node 11th

Processing and monitoring algorithm for solar-powered smart ...

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11th Multi-disciplinary International Workshop on Artificial Intelligence, MIWAI 2017

作者： Sabry, A.H. Hasan, W.Z.W. Kadir, Mza Ab. Radzi, M.A.M. Shafie, S. Control and Automation Faculty of Engineering UPM Serdang Malaysia Faculty of Engineering UPM Serdang Malaysia

ISBN: (纸本)9783319694559

The success of a design of an effective premises area network requires appropriate algorithm and communication strategy. The primary objective of this paper is to present an effective algorithm for low cost process and monitoring system integrated with energy management of a solar-powered home system. The proposed algorithm designed to serve a system of a low power consumption and recognized by a lower number of electronic components, the system includes only a pair of XBee RF modules to process signals of current, voltage and temperature sensors and to monitor the power consumption data rate variations. The proposed control algorithm able to manage the Xbee on-board micro-controller with the associated sensors to act as a remote integrated wireless sensor node. The processed information sent to base node attached to PC for monitoring the attained data and displaying over an appropriate GUI. The approach suits the XBee RF environment, but, based on a direct sensor link concept, can open horizon to other wireless sensor networking applications such as WiFi. The results have been validated by a real case study conducted in solar powered home appliances in the DC - environment system. A (11–123) Hz sampling frequency has been achieved to capture the possible surge power. This work serves as an essential stepping stone towards more efficient wireless circuit design for the smart home energy system. © Springer International Publishing AG 2017.

关键词： Domestic appliances

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