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Anti-saturation fault-tolerant adaptive torsional vibration control with fixed-time prescribed performance for rolling mill main drive system

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Journal of Iron and Steel Research International 2024年第3期31卷 660-669页

作者： Shuang Liu Chen Du Cong Zhang Zhen-hua Bai Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan UniversityQinhuangdao 066004HebeiChina National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan UniversityQinhuangdao 066004HebeiChina

An anti-saturation fault-tolerant adaptive torsional vibration control method with fixed-time prescribed performance for the rolling mill main drive system(RMMDS)was investigated,which is affected by control input saturation,actuator faults,sensor measurement errors,and parameter ***,we gave a continuously differentiable saturation function to approximate the control input saturation characteristic of the RMMDS,translating the saturation characteristic into the matched uncertainty and unknown time-varying gain in the ***,an RMMDS mathematical model with unmatched uncertainty and unknown time-varying gain was developed,taking into account the presence of control input saturation,actuator faults,sensor measurement errors,and parameter *** on the established mathematical model,an error transformation model of the roll speed tracking was constructed by the equivalent error transformation *** to the error transformation model,a barrier Lyapunov function and a novel adaptive controller were studied to ensure that the roll speed tracking error always evolves inside a fixed-time asymmetric ***,numerical simulations were performed in Matlab/Simulink to verify the effectiveness and superiority of the proposed control method in suppressing the RMMDS torsional vibration.

关键词： Fixed-time prescribed performance control input saturation Actuator fault Unknown time-varying gain Adaptive control Asymmetric constraint

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Relay Selection and Power control for Mobile Underwater Acoustic Communication Networks: A Dual-Thread Reinforcement Learning Approach

IEEE Transactions on Green Communications and Networking

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IEEE Transactions on Green Communications and Networking 2024年第2期9卷 1-1页

作者： Dai, Jun Li, Xinbin Han, Song Yu, Junzhi Liu, Zhixin Key Lab of Industrial Computer Control Engineering of Hebei Province China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China

This paper deals with a cooperation communication problem (relay selection and power control) for mobile underwater acoustic communication networks. To achieve satisfactory transmission capacity, we propose a reinforcement-learning-based cooperation communication scheme to efficiently resist the highly dynamic communication links and strongly unknown time-varying channel states caused by the mobility of Autonomous Underwater Vehicles (AUVs). Firstly, a particular Markov decision process is developed to model the dynamic relay selection process of mobile AUV in the unknown scenario. In the developed model, an experimental statistical-based partition mechanism is proposed to cope with the greatly increasing dimension of the state space caused by the mobility of AUV, reducing the search optimization difficulty. Secondly, a dual-thread reinforcement learning structure with actual and virtual learning threads is proposed to efficiently track the superior relay action. In the actual learning thread, the proposed improved probability greedy policy enables the AUV to strengthen the exploration for the reward information of potential superior relays on the current state. Meanwhile, in the virtual learning thread, the proposed upper-confidence-bound-index-based uncertainty estimation method can estimate the action-reward level of historical states. Consequently, the combination of actual and virtual learning threads can efficiently obtain satisfactory Q value information, thereby making superior relay decision-making in a short time. Thirdly, a power control mechanism is proposed to reuse the current observed action-reward information and transform the multiple unknown parameter nonlinear joint power optimization problem into a convex optimization problem, thereby enhancing network transmission capacity. Finally, simulation results verify the effectiveness of the proposed scheme. IEEE

关键词： Convex optimization

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Design and Analysis of Polynomial Positive Fuzzy System controllers Based on Markov Transitions

Design and Analysis of Polynomial Positive Fuzzy System Cont...

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2024 China Automation Congress, CAC 2024

作者： Chang, Sen Li, Xiaomiao Liu, Fucai Bao, Zhiyong Key Lab of Industrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangdao China

ISBN: (纸本)9798350368604

This study explores polynomial Markov positive fuzzy systems, formulating controllers for these systems by examining the prerequisites for positivity and stochastic stability. Initially, polynomials are incorporated into the Markov positive fuzzy system to represent nonlinear elements better and enhance its capacity to model nonlinear systems. Concurrently, the study discusses the non-convex scenarios encountered in the stability analysis of the closed-loop system once the positive fuzzy system controller is integrated and confirms the stability of the Markov polynomial positive fuzzy system. Ultimately, the effectiveness of the proposed approaches is demonstrated through a numerical simulation example. © 2024 IEEE.

关键词： Fuzzy systems

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Fault Tolerant control Based on GA-DRE for a Manipulator with Actuator Fault 43

Fault Tolerant Control Based on GA-DRE for a Manipulator wit...

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43rd Chinese control Conference, CCC 2024

作者： Qiu, Jiongzhi Fang, Yiming Zhao, Donliang Liu, Le Shao, Nuan Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao066004 China Hebei University of Environmental Engineering Department of Environmental Engineering Qinhuangdao China

ISBN: (纸本)9789887581581

To solve the trajectory tracking control problem of a rigid manipulator system in the case of unexpected actuator failure, considering the uncertainty of system parameters and bounded disturbance, an adaptive fault-tolerant tracking control strategy is proposed in this paper. Firstly, an adaptive strategy is designed to estimate and compensate the effects of actuator failure and system uncertainty, and the dynamic regression matrix is extended and mixed to improve the accuracy of parameter estimation without persistency of excitation (PE), which will enhance the trajectory tracking performance. Then, in the framework of sliding mode fault-tolerant control, combined with standard Gradient Adaptive and Dynamic Regressor Extension (GA-DRE) parameter estimation technology, a composite adaptive fault-tolerant controller is designed. Finally, theoretical analysis and numerical simulation results show that the proposed method can perform accurate parameter estimation in a finite time under the premise of matching the new conditions based on DRE additional terms, and the trajectory tracking errors of the expected positions and velocities of each joint of the manipulator can asymptotically converge to zero. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Sliding mode control

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An Improved Seagull Optimization Algorithm for Flexible Job-shop Scheduling Problem 13

An Improved Seagull Optimization Algorithm for Flexible Job-...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Ma, Kai Yao, Shijie Guo, Shiliang Yang, Bin Li, Shuai Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

Job-shop scheduling problem is the core link and key technology to realize smart factory and develop smart manufacturing technology. Among them, the flexible job-shop scheduling problem (FJSP) which is more consistent with the actual production and processing mode has been focused. This paper proposes an improved seagull optimization algorithm(ISOA) for solving the FJSP. The ISOA uses chaos initialization and reverse learning to optimize initial population, and introduces Q-learning to change the fitting parameters to balance global search and local search. In addition, we propose a local search model that is adaptive iterative process to enhance the algorithm's optimization search capability. The results of the experiment proved that the algorithm is superior in terms of optimization speed and scheduling results. © 2023 IEEE.

关键词： Iterative methods

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Relaxed Stability Analysis and Event-Triggered controller Design for Discrete-Time Positive T-S Fuzzy Networked control Systems 49

Relaxed Stability Analysis and Event-Triggered Controller De...

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49th Annual Conference of the IEEE industrial Electronics Society, IECON 2023

作者： Wang, Xiaoxiao Li, Xiaomiao Bao, Zhiyong Liu, Fucai Du, Yuehao Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350331820

This paper deals with the relaxation stability analysis and event-triggered controller design of discrete-time positive Takagi-Sugeno (T-S) fuzzy networked control systems (FNCSs). The constraints of positive conditions in NCSs bring significant challenges to stability analysis and controller design. A 1-norm event-triggered scheme is proposed for the positive system, which can effectively reduce the frequency of network communication. Since the event-triggered T-S fuzzy controller (ETTSFC) can only observe the latest transmission state after the triggering action, the ETTSFC selects the premise variables different from the T-S fuzzy model, improving design and implementation flexibility. Using the linear copositive Lyapunov function (LCLF), the design criteria of the event-triggered controller to ensure the positivity and stability of the closed-loop system are derived. To relax the sum-of-squares (SOS) based conservative condition, we adopt the Taylor series membership functions (TSMFs) and introduce TSMFs and their approximation error into the stability conditions. Finally, an example is given to illustrate the effectiveness of the design. © 2023 IEEE.

关键词： Lyapunov functions

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An Improved NSGAII Algorithm for Flexible Job-shop Scheduling Problem Based on A New Decoding Mechanism 13

An Improved NSGAII Algorithm for Flexible Job-shop Schedulin...

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13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Li, Man Ma, Kai Guo, Shiliang Li, Shuai Yang, Bin Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China

ISBN: (纸本)9798350315196

The flexible job-shop scheduling problem (FJSP) is a famous combinatorial optimization problem. FJSP is widely used in process manufacturing industry, so it is of great significance to study FJSP to improve production efficiency. In this paper, a non-dominated sorting genetic algorithm II based on a new decoding mechanism (NSGAII-NDM) is proposed. Firstly, the opposite-based learning strategy is introduced on the basis of NSGAII, and the sufficiency of global search is improved by generating the opposite value. Secondly, an improved adaptive crossover and mutation probability strategy is added, which can dynamically adjust the inherent crossover and mutation probability with the number of iterations and improve the convergence speed of the algorithm. Furthermore, based on fully active scheduling strategy, a new decoding mechanism is proposed, which can get a better scheduling scheme by arranging the machines and starting time of each process more reasonably. Finally, the improved algorithm is tested in a standard test case, which verifies the superiority of NSGAII-NDM in solving the flexible job-shop scheduling problem. © 2023 IEEE.

关键词： Production efficiency

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Optimal Resource Allocation Scheme for RIS-Assisted Vehicular Networks 43

Optimal Resource Allocation Scheme for RIS-Assisted Vehicula...

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43rd Chinese control Conference, CCC 2024

作者： Chen, Wenxuan Su, Jiawei Liu, Zhixin Yanshan University School of Electrical Engineering Qinhuangdao066004 China Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9789887581581

Deploying reconfigurable intelligent surfaces (RIS) in vehicular networks can effectively improve the quality of wireless channel and increase network throughout, which is realized by optimizing the phase shifters. However, the dynamic network environment and complex multi-user interference seriously affect network reliability. Enhancing transmission powers blindly cannot solve the interference problem but also reduces the transmission efficiency of the RIS-based vehicular networks. To address the above challenges, this paper proposed a joint optimization scheme of transmission beamforming and phase shift. Based on the block coordinate descent (BCD) theory, this paper decomposed the scheme into two sub-problems: transmission beamforming optimization and RIS phase shift optimization, and the joint optimization algorithm was developted. Simulation results have demonstrated that the transmission rate has been improved with the assistance of RIS, with the multi-user interference effect being well-depressed. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Resource allocation

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An Improved Fault-Tolerant control and Stabilization for Positive Polynomial Fuzzy Systems

An Improved Fault-Tolerant Control and Stabilization for Pos...

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2024 IEEE International Conference on control Science and Systems engineering, ICCSSE 2024

作者： Wang, Ziguang Meng, Aiwen Wang, Mingxuan Li, Zhiquan Yanshan University Key Laboratory of Industrial Computer Control Engineering of Hebei Province Hebei China College of Electronic and Information Engineering Hebei University Hebei China

ISBN: (纸本)9798331517199

This paper presents an improved analysis method to design a fault-tolerant controller for positive polynomial fuzzy systems based on static output feedback as well as actuator faults. Firstly, inspired by the property of fault matrix, a new approach of controller design is presented, and some constraint conditions are introduced to guarantee the stability conditions and posi-tivity conditions to be convex simultaneously. Furthermore, by comparing with the existing methods, this method not only can eliminate the binding to the input matrix B, but also is able to provide a wider range of stability region. Besides, to enhance the relaxation of the stability analysis, we introduce the up-to-date Taylor series membership functions (TSMFs) approximation method such that the information embedded in the membership functions and the state boundary information can be taken into the stability conditions. As a result, on the strength of Lyapunov stability theory, the stability analysis is performed via sum-of-squares (SOS) approach. Finally, a simulation example is given to illustrate the effectiveness and reliability of the proposed method. © 2024 IEEE.

关键词： Fuzzy systems

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An Improved Artificial Potential Field Method for Formation control and Obstacle Avoidance of the Multi-Agents Systems

An Improved Artificial Potential Field Method for Formation ...

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2023 China Automation Congress, CAC 2023

作者： Yan, Yubiao Li, Jianxiong Dong, Haibo Gao, Chongyi Fang, Yiming Yanshan University Key Lab of Industrial Computer Control Engineering of Hebei Province Qinhuangdao China Tangshan University Department of Electromechanical Engineering Tangshan China

ISBN: (纸本)9798350303759

Obstacle avoidance is a significant research content in multi-agents formation control. The obstacle avoidance of multi-agents systems is investigated in this paper, and an improved artificial potential field method (IAPF) is proposed to avoid unknown obstacles in multi-agent formation. Aiming at improving the efficiency of formation avoidance and solving the non-reachable and local minima problems, the dynamic sub-target algorithm is proposed. The proposed method enables the multi-agent system (MASs) to avoid obstacles smoothly and quickly and complete formation tasks in complex environments by tracking dynamic sub-target as well, in which the position and motion direction of adjacent agents are taken into account in the selection of a sub-target for the formation efficiency. In addition, a variable potential field range is defined to ensure the safety of the formation. Finally, several simulation results verify the superiority and effectiveness of the proposed approach. © 2023 IEEE.

关键词： Multi agent systems

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