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检索条件"任意字段=2022 5th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2022"

共 264 条记录，以下是71-80 订阅

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Research on Speed Regulation System of Underground Belt Conveyor Based on Genetic-Fuzzy control 5

Research on Speed Regulation System of Underground Belt Conv...

引用

5th IEEE advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2022

作者： Huang, Xiangdong Liu, Xie Jiang, Wei Pan, Hongguang College of Electrical and Control Engineering Xi'An University of Science and Technology Xi'an China CCTEG Changzhou Research Institute Changzhou China

ISBN: (纸本)9781665479677

In order to improve the speed control effect of the underground belt conveyor under operating condition, to ensure the belt speed matches the detected coal flow in real time, and to prevent the occurrence of coal pile-up failure, the work in this paper proposes a method to optimize the fuzzy control rules using genetic algorithm to realize the belt conveyor speed control. the fuzzy controller optimized by the genetic algorithm program is simulated and analyzed in Simulink. the experimental results show that when the Genetic Algorithm optimizes the Fuzzy controller, the overshoot of the system is reduced to 1%, the steady-state error is eliminated, and the control effect is better. © 2022 IEEE.

关键词： Genetic algorithms

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Optimizing a Dynamic Sliding Mode controller with Bio-Inspired Methods: A Comparison 1

引用

5th IEEE Colombian conference on Applications of Computational Intelligence (IEEE ColCACI)

作者： Espin, Jorge Estrada, Sebastian Benitez, Diego S. Camacho, Oscar Univ Tecn Federico Santa Maria Dept Elect Engn Valparaiso Chile Univ San Francisco Quito USFQ Colegio Ciencias Ingn El Politecn Quito 170157 Ecuador

ISBN: (数字)9783031297830

ISBN: (纸本)9783031297823;9783031297830

In the past few years, bio-inspired optimization algorithms have shown to be an excellent way to solve a wide range of complex computing problems in science and engineering. this paper compares bio-inspired algorithms to better understand and measure how well they find the best tuning parameters for a Dynamic Sliding Mode control for integrating systems with an inverse response and dead time. the comparison includes four bioinspired algorithms: particle swarm optimization, artificial bee colony, ant colony optimization, and genetic algorithms. It shows how they can improve the performance of the controller by looking for the best tuning parameter solutions. the parameters of each algorithm affect the searching mechanism in different ways, and these effects were tested in two simulated systems. Ant colony optimization is much better than other algorithms at finding the best answers to our problems.

关键词： Bioinspired optimization algorithms Integrating systems Inverse response Dead time Dynamical Sliding Mode control

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A Multi-Stage Goal-Driven Network for Pedestrian Trajectory Prediction 5

A Multi-Stage Goal-Driven Network for Pedestrian Trajectory ...

引用

5th international conference on Computer Vision, Image and Deep Learning, CVIDL 2024

作者： Wu, Xiuen Wang, Tao Cai, Yuanzheng Liang, Lingyu Papageorgiou, George Minjiang University Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Fuzhou China Fuzhou University College of Computer and Data Science Fuzhou China South China University of Technology School of Electronic and Information Engineering Guangzhou China European University Cyprus Department of Computer Science and Engineering Nicosia Cyprus

ISBN: (纸本)9798350373820

Pedestrian trajectory prediction plays a pivotal role in ensuring the safety and efficiency of various applications, including autonomous vehicles and traffic management systems. this paper proposes a novel method for pedestrian trajectory prediction, called multi-stage goal-driven network (MGNet). Diverging from prior approaches relying on stepwise recursive prediction and the singular forecasting of a long-term goal, MGNet directs trajectory generation by forecasting intermediate stage goals, thereby reducing prediction errors. the network comprises three main components: a conditional variational autoencoder (CVAE), an attention module, and a multi-stage goal evaluator. Trajectories are encoded using conditional variational autoencoders to acquire knowledge about the approximate distribution of pedestrians' future trajectories, and combined with an attention mechanism to capture the temporal dependency between trajectory sequences. the pivotal module is the multi-stage goal evaluator, which utilizes the encoded feature vectors to predict intermediate goals, effectively minimizing cumulative errors in the recursive inference process. the effectiveness of MGNet is demonstrated through comprehensive experiments on the JAAD and PIE datasets. Comparative evaluations against state-of-the-art algorithms reveal significant performance improvements achieved by our proposed method. © 2024 IEEE.

关键词： Trajectories

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Rolling Optimization Operation Strategy of Energy Storage System Considering Multiple Application Scenarios 5

Rolling Optimization Operation Strategy of Energy Storage Sy...

引用

5th international conference on Energy, Electrical and Power engineering, CEEPE 2022

作者： Tang, Liangchun Chen, Minyou Li, Qiang Li, Bo Kang, Wenfa Chongqing University School of Electrical Engineering Chongqing China

ISBN: (纸本)9781665479059

As the proportion of renewable energy in the power system continues to increase, energy storage is widely used in the grid to absorb renewable energy. However, the traditional energy storage operation strategy is less efficient. To improve the utilization rate of energy storage, this paper proposes a method for the energy storage system (ESS) to participate in the joint operation of multiple application scenarios after participating in the grid dispatching and establishes an optimal operation model for day-ahead and intra-day. In the day-ahead stage, dispatching plan with the goal of minimizing power grid operation cost is made, and the ESS's output plan is made based on the electricity price while considering the aging cost of battery;then, the remaining capacity of ESS participates in bidding in the energy market, frequency regulation market, and reserve market;In the intra-day stage, dispatching is based on the Model Predictive control (MPC) algorithm considering the constraint of the ESS's day-ahead bid value. In this model, the market bid value of ESS is more effectively used compared with the classic MPC algorithm. Case studies are carried out on the IEEE33 bus system, the result verifies the economy and effectiveness of the proposed model. © 2022 IEEE.

关键词： Renewable energy sources Costs Prediction algorithms Dispatching Power grids Voltage control Optimization

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AGV Variable Speed control for Human Body Adaptability 5

AGV Variable Speed Control for Human Body Adaptability

引用

5th IEEE advanced Information Management, Communicates, Electronic and Automation control conference, IMCEC 2022

作者： Liu, Jinche Li, Meng Wang, Zhonghua School of Electrical Engineering University of Jinan Jinan250022 China

ISBN: (纸本)9781665479677

Aiming at the speed change control problem of manned AGV during acceleration and deceleration and braking, this paper analyzes the human body's adaptation to acceleration, compares typical acceleration and deceleration algorithms, and then proposes an S-curve based AGV variable speed control method for human body adaptation, establishes AGV speed curve smoothness control indexes under different constraints, and designs two typical operating speed control modes for AGV comfort and speed, respectively, for AGV practical application requirements. the simulation test of the AGV variable speed control method was conducted for typical working conditions. the simulation results show that this AGV variable speed control method can effectively control the acceleration and deceleration process of AGV, which meets the requirements of human adaptability and AGV operation, and ensures the comfort and smoothness of AGV operation while meeting the speed of AGV operation. © 2022 IEEE.

关键词： Speed control

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Model Free Adaptive control for Industrial Engraving Machine System 5

Model Free Adaptive Control for Industrial Engraving Machine...

引用

5th international conference on Robotics, control and Automation engineering, RCAE 2022

作者： Zhang, Yuzhu Liu, Jiawei Zhou, Xingxing Qin, Baojian Dong, Shijian School of Information and Control Engineering China University of Mining and Technology Xuzhou China School of Electrical and Electronic Engineering Changchun University of Technology Xuzhou China

ISBN: (纸本)9781665459419

the engraving machine system is a typical multi-axis motion system, which has great application value in industrial production. the mechanism of input angular velocity and output position of a typical engraving machine system in speed control mode is analyzed. the engraving machine model is mainly composed of speed circuit, current circuit, motor and mechanical actuator. Some ideal assumptions and simplifications are made during the establishment of the mechanism model, which makes it difficult to estimate the parameters of the mechanism model accurately. the imprecise prediction model limits the application of model-based control algorithms and reduces the model control accuracy. therefore, a model free adaptive control algorithm based on dynamic linearization of compact format is used to control the output position of the engraving machine. the stability of the proposed model-free adaptive control algorithm is analyzed and proved. the numerical simulation and practical experiment verify superiority and practicability of the proposed control algorithm for nonlinear time-varying system and engraving machine system. © 2022 IEEE.

关键词： Mechanical actuators

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control and Stability Analysis of Multi-Parallel Single-Phase Electric Springs 5

Control and Stability Analysis of Multi-Parallel Single-Phas...

引用

5th IEEE international Electrical and Energy conference, CIEEC 2022

作者： Cao, Mengjiao Wang, Qingsong Deng, Fujin Cheng, Ming Buja, Giuseppe Southeast University School of Electrical Engineering Nanjing China University of Padova Department of Industrial Engineering Padova Italy

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

To expand the capacity of electric spring (ES) and improve the ability of critical load voltage control, a multi-ES parallel structure is proposed. Concerning the control and operation stability problem of multi-parallel ESs, a method to realize reactive power compensation in the parallel system is advanced, and the stability of the system is studied. Firstly, the topology of the multi-ES parallel system and the phase control strategy suitable for the structure are introduced. then, by applying impedance modeling, the mathematical models of a single ES and its parallel system are established, and the impact of controller parameters on the stability of the system is discussed by utilizing impedance analysis method. Finally, the correctness of the theoretical analysis is verified by the establishment of a simulation model with three-parallel ESs. © 2022 IEEE.

关键词： Phase control

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Multi-Scale Local Feature Fusion Network for Facial Expression Recognition 5

Multi-Scale Local Feature Fusion Network for Facial Expressi...

引用

5th international conference on advanced Electronic Materials, Computers and Software engineering, AEMCSE 2022

作者： Luo, Xusong Xiao, Jie Xiong, Aimin Zhang, Hongbin South China Normal University School of Physics and Telecommunication Engineering Guangzhou China Qingyuan HuaYun Smart Control Technology Co. Ltd Qingyuan China Scnu Qingyuan Institute of Science and Technology Innovation Co. Ltd Qingyuan China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

To solve the problem that facial expression recognition (FER) system in actual application scenariosis always interfered by complex background which lead to low accuracy, we designed a multi-scale local feature fusion network (MSLFnet) to improve the performance of FER in actual application scenarios. Middle-level facial features map are extracted from the backbone, and the middle-level local feature is generated by a patch-level local attention module, the network can obtain richer facial expressions. Experiments is carried out on the FER datasets RAF-DB and FER+ to verify the efficacy of the network. Experimental results show that the accuracy of the proposed network on RAF-DB and FER+ is 2.5% and 1% higher than original ResNet-18, proving the effectiveness of MSLFnet. © 2022 IEEE.

关键词： Face recognition

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Model Free Safe control for Reinforcement Learning in a Clustered Dynamic Environment 5

Model Free Safe Control for Reinforcement Learning in a Clus...

引用

5th international conference on Mechatronics, Robotics and Automation, ICMRA 2022

作者： Zheng, Guiliang Yang, Minhao Wu, Yuxuan The Robot Institute Carnegie Mellon University PittsburghPA United States The University of Hongkong Faculty of Engineering Hong kong Hong Kong University of Nottingham Materials and Manufacturing Engineering Department of Mechanical Nottingham United Kingdom

ISBN: (纸本)9781665472654

While reinforcement learning (RL) has been wildly used in continuous control tasks with impressive performance, there are two main challenges in RL development: continuously satisfying the safety constraints in a clustered dynamic environment and lacking the explicit analytical models of dynamic systems for typical safeguard algorithms in RL training. this paper proposed a model-free safe control strategy to safeguard the RL agent in a clustered dynamic environment. By extending and applying the adaptive momentum boundary approximating (AdamBA) method to monitor and modify the RL nominal controls in a clustered dynamic environment, experimental results have shown the better safeguard performance of the proposed algorithm than other safe RL methods. the proposed algorithm could be easily extended to other RL algorithm with black-box implicit analytical model of dynamic systems. © 2022 IEEE.

关键词： Reinforcement learning

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Low-Complexity Hermite Nonlinear Filter for Active Noise control 5

Low-Complexity Hermite Nonlinear Filter for Active Noise Con...

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5th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2022

作者： Lu, Lu Yang, Xiaomin College of Electronics and Information Engineering Sichuan University Chengdu610065 China

ISBN: (数字)9781665472111

ISBN: (纸本)9781665472111

In this article, a class of low-complexity Hermite nonlinear (HN) filters is proposed for nonlinear active noise control (NLANC). the HN filters belong to linear-in-the-parameter (LIP) nonlinear filters, which also have the orthogonal property for white input signals. Based on the HN filters, the fast affine projection algorithm (FAPA) and the dichotomous coordinate descent (DCD) method are introduced, generating DCD-filtered-h FAPA (DCD-FhFAPA). Benefiting from fast recursive filtering and DCD strategies, the computational complexity of the algorithm can be reduced. To further alleviate computational complexity, two methods of discarding redundant data are proposed based on the Mahalanobis distance, leading to the DCD-low-complexity filtered-h FAPA-I (DCD-LFhFAPA-I) and DCD-LFhFAPA-II algorithms. At the price of slightly slow convergence, two new algorithms significantly reduce the computational load for NLANC. Simulation results exhibit the effectiveness of the DCD-FhFAPA, DCD-LFhFAPA-I, and DCD-LFhFAPA-II algorithms. © 2022 IEEE.

关键词： Computational complexity

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