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第41届中国控制会议

作者： Shaoying He Yunwen Xu Dewei Li Yugeng Xi Department of Automation Shanghai Jiao Tong University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

The paper proposes an adaptive control algorithm for the uncalibrated position-based visual servoing to complete the tracking task of robot *** desired and current poses of the end-effector are obtained by the camera and the system error is described in the camera coordination,which can avoid the work of hand-eye *** connection matrix between the robot and the end-effector as well as the camera measurement bias are estimated together by the input/output data in the online control process,which can avoid the calibration between the robot terminal and the end-effector and reduce the influence of the measurement *** our proposed algorithm,the controller can update the ***,the control law and the estimation updated law are designed by the Lyapunov theory,which is proved that the system error and the parameter estimation error can be closed to *** verify the performance of the proposed controller,a numerical simulation experiment on a 6 degrees-offreedom robot manipulator equipped with the end-effector and the eye-to-hand camera under our proposed control method is designed and presented.

关键词： Uncalibration Position-based visual servoing adaptive control algorithm Robot manipulator

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Nonlinear adaptive control algorithm for a multicomponent batch distillation column

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CHEMICAL ENGINEERING SCIENCE 2007年第4期62卷 1111-1124页

作者： Murlidhar, Gundale Mangesh Jana, Amiya Kumar Birla Inst Technol & Sci Dept Chem Engn Pilani 333031 Rajasthan India

In this article, a nonlinear adaptive control strategy is proposed for a multicomponent batch distillation column. The hybrid control scheme consists of a generic model controller (GMC) and a nonlinear adaptive state estimator (ASE). In the first part of the study, an adaptive observer is designed aiming to estimate the partially known parameters based on the measured compositions in the presence of process/predictor mismatch. The open-loop dynamic behavior of the developed ASE estimator is investigated under initialization error, disturbance, and uncertain parameters. In the subsequent part, the adaptive GMC-ASE controller (GMC control structure in conjunction with ASE estimator) has been synthesized for the example distillation column. A simulation-based comparative study has been conducted between the derived nonlinear GMC-ASE control algorithm and a gain-scheduled proportional integral (GSPI) law in terms of constant composition control. The proposed adaptive control scheme is shown to be quite promising due to the exponential error convergence capability of the ASE estimator in addition to the high-quality performance of the GMC controller. (c) 2006 Elsevier Ltd. All rights reserved.

关键词： generic model controller adaptive state estimator adaptive control algorithm multicomponent batch distillation

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A Multiple-model based adaptive control algorithm for Very-short Term Wind Power Forecasting

A Multiple-model based Adaptive Control Algorithm for Very-s...

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IEEE International Conference on Power System Technology (POWERCON)

作者： Zhou, Hai Wang, Zhijia China Elect Power Res Inst Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781467388481

A multiple-model adaptive control algorithm is developed for wind power forecasting based on three forecasting models for very-short term wind power prediction. The performance of the three models and the proposed approach is verified in a wind farm in North China. The case study indicates that the proposed approach can provide reasonable very-short term wind power prediction and outperforms the other three models on both accuracy and reliability.

关键词： very short-term wind power forecasting multiple models adaptive control algorithm

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Research on adaptive control algorithm of Nano Positioning Stage 2nd

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2nd International Conference on Harmony Search algorithm (ICHSA)

作者： Dai, Jing Wang, Tianqi Shao, Meng Qu, Peng Shenyang Jianzhu Univ Fac Informat & Control Engn Shenyang Liaoning Provin Peoples R China Shenyang Jianzhu Univ Micronano Detect & Mot Control Lab Shenyang Liaoning Provin Peoples R China

ISBN: (纸本)9783662479261;9783662479254

The mechanical structure and load changes of nano positioning stage cause a poor accuracy of the control system. For solving the problem, adaptive PID control algorithm was applied to control the nano positioning stage. The model of nano positioning stage was established on the basis of controlled Auto-regressive Moving Average model (CARMA). The parameters of controller were identified based on Recursive Extended Least Squares algorithm (RELS). The control system of nano positioning stage was steady through 4ms after parameters identification, which static error was less than 5nm. The experimental results demonstrated that adaptive PID control algorithm was able to identify the parameters of controlled object and calculate the parameters of controller. The accuracy of control system can be at nanometer resolution.

关键词： Nano positioning stage adaptive control algorithm Parameters identification PID control

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Application of real-time adaptive control algorithm in adaptive optics system

Application of real-time adaptive control algorithm in adapt...

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Conference on adaptive Optics and Applications III

作者： Li, XY Meng, L Jiang, WH Chinese Acad Sci Inst Opt & Elect Lab Adapt Opt Chengdu 610209 Peoples R China

ISBN: (纸本)0819455946

A kind of real-time adaptive control (RTAC) algorithm that can be put into practice in the feed-back close loop AO system was introduced in this paper. The RTAC algorithm, doesn't like the traditional control algorithm, considered the effect of atmospheric turbulence and the measurement noise together with the dynamic characteristics of the AO system. The parameters of controller can be modified during iterative calculation through the RTAC algorithm. The RTAC algorithm can adapt to the changes of work conditions to keep achieve optimal control performance. The theory of the RTAC algorithm will be discussed. The computer simulation and the experiment results on a modular adaptive optics experiment system with the RTAC algorithm will be discussed.

关键词： adaptive optics system adaptive control algorithm real-time measurement noise

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An adaptive control algorithm for Wind Power Dispatch Using a Battery Energy Storage System

An Adaptive Control Algorithm for Wind Power Dispatch Using ...

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IEEE Conference on control and Applications (CCA)

作者： Khalid, Muhammad Savkin, Andrey V. Agelidis, Vassilios G. Univ New S Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia

ISBN: (纸本)9781479977871

This paper presents an adaptive wind power selling strategy to increase the income for grid-connected wind power plant attached with a battery energy storage system (BESS). The proposed selling strategy is primarily based on time varying price thresholds that are varied by our proposed adaptive algorithm. Since electricity market prices and wind power vary throughout the day, the idea is to store energy during low price-periods and sell it when prices are high. The wind farm operator could take advantage of the price variability in order to generate an extra income by choosing the best price thresholds in an adaptive manner. Twofold benefits of the proposed strategy lie in efficient energy selling along with the constraint-based efficient operation of BESS. The strategy has been analyzed for a variety of BESSs with a wide range of its energy and power capacities, and income improvement over a trivial strategy is calculated. Simulation results depict the effectiveness of the proposed strategy validated with real-world wind farm data and electricity market prices.

关键词： adaptive control battery storage plants power grids power markets time-varying systems wind power plants BESS adaptive control algorithm adaptive wind power selling strategy battery energy storage system electricity market prices grid-connected wind power plant time varying price thresholds wind power dispatch Batteries Electricity supply industry Renewable energy sources Wind farms Wind power generation battery energy storage system Wind farms Wind power plants power markets electricity supply industry Power grids adaptive control time-varying systems Wind energy generation Renewable energy renewable energy sources Batteries Computer algorithms Prices Wind energy

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Design of Temperature control System of adaptive control algorithm Based on Characteristic Model 32

Design of Temperature Control System of Adaptive Control Alg...

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32nd Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Li, Minkai Sang, Jian Yao, Yiming Shanghai Inst Technol Sch Elect & Elect Engn Shanghai 200000 Peoples R China

ISBN: (纸本)9781538629017

At present, the research of temperature control algorithm is based on the traditional PID and the improved PID algorithm based on the traditional PID. But in the industry, there are some deficiencies. In order to solve the problem of high overshoot and slow calculation speed in the design of temperature control system. This paper presents a design of temperature control system of adaptive control algorithm based on characteristic model. In this paper, compared with the commonly used indirect adaptive methods, the parameters to be identified are more less and the algorithm is more simpler. Finally, the experimental results show that the method can realize the adaptive adjustment of the temperature control system parameters. So it can achieve the continuous and accurate control of the temperature. The proposed method has higher accuracy and better stability than the PID algorithm.

关键词： Characteristic model adaptive control algorithm Temperature control System

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Construction Quality Optimization and adaptive control algorithm Design of Intelligent Water Conservancy Project Based on Reinforcement Learning 3

Construction Quality Optimization and Adaptive Control Algor...

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3rd International Conference on Artificial Intelligence and Autonomous Robot Systems, AIARS 2024

作者： Wang, Xiaoyong Chu, Dongdong Jiangsu Hydraulic Research Institute Yangzhou Jiangsu210000 China

ISBN: (纸本)9798350376173

In this paper, an intelligent optimization and adaptive control method based on RL (Reinforcement learning) is proposed to solve the key problems of construction quality optimization and control of water conservancy projects. Firstly, this paper analyzes the factors affecting the construction quality of water conservancy projects, points out the limitations of traditional control methods, and expounds the necessity and significance of introducing RL technology. On this basis, the construction quality optimization model based on RL is constructed, and the adaptive control algorithm is designed, and the effectiveness of the proposed method is verified by simulation experiments. The experimental results show that the RL model can learn independently and find the optimal construction strategy in different construction environments, and realize the adaptive optimization of construction quality. Compared with other methods, this method shows obvious advantages in improving construction quality and effectively reduces the occurrence of construction quality problems. At the same time, the adaptive control algorithm shows strong robustness and expansibility, and is suitable for water conservancy construction projects with different scales and complexity. This achievement not only improves the stability and reliability of construction quality, but also provides new technical support for the high-quality development of water conservancy projects. © 2024 IEEE.

关键词： adaptive control algorithm Intelligent water conservancy project Optimization of construction quality Reinforcement learning

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Design of Temperature control System of adaptive control algorithm Based on Characteristic Model

Design of Temperature Control System of Adaptive Control Alg...

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Youth Academic Conference of Chinese Association of Automation

作者： Minkai Li Jian Sang Yiming Yao School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai 200000

ISBN: (纸本)9781538629024

关键词： Characteristic model adaptive control algorithm Temperature control System

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An adaptive control algorithm for blood glucose regulation in Type-I Diabetes Mellitus patients

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Decision Analytics Journal 2023年 8卷

作者： Patra, Akshaya Kumar Panigrahi, Girija Sankar Department of EEE ITER Siksha ‘O'Anusandhan University Odisha Bhubaneswar 751030 India Department of EE ITER Siksha ‘O'Anusandhan University Odisha Bhubaneswar 751030 India

This study presents the design and development of a Remora Optimization -Tilt Integral-Derivative-Filter (RO-TIDF) controller to infuse ideal insulin doses to manage Blood Glucose (BG) levels in Type-I Diabetes Mellitus (TIDM) patients with Artificial Pancreas (AP). In this control technique, Remora Optimization algorithm (ROA) is used, which adjusts the controller gains of the proposed patient model for better regulation of BG. This classic RO controller is designed to improve patient performance and robustness. Nonlinearities present in the patient model pose problems for glycemic control. Using an AP-based ROA efficiently overcomes the nonlinearity of patient models and maintains BG levels in the glycemic band (70–120 mg/dl). The suggested patient model with RO-TIDF is examined for precision, consistency, robustness, noise reduction, and improved uncertainty handling. A comparative study of results from different control methods reveals the causes of the advanced control performance of the proposed approach. © 2023 The Author(s)

关键词： adaptive control algorithm controller Diabetes Glucose Pancreas Remora optimization

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