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仿真 7

质量控制 6

控制 5

模糊控制 5

智能控制 4

主动控制 3

神经网络 3

自适应控制 3

解耦控制 3

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An adaptive sliding mode control technology for weld seam tracking

Jie LIU,Youmin HU,Bo WU,Kaibo ZHOU,Mingfeng GE

《机械工程前沿（英文）》 2015年第10卷第1期页码 95-101 doi: 10.1007/s11465-015-0332-3

摘要：

A novel adaptive sliding mode control algorithm is derived to deal with seam tracking control problem of welding robotic manipulator, during the process of large-scale structure component welding. The proposed algorithm does not require the precise dynamic model, and is more practical. Its robustness is verified by the Lyapunov stability theory. The analytical results show that the proposed algorithm enables better high-precision tracking performance with chattering-free than traditional sliding mode control algorithm under various disturbances.

关键词： weld seam tracking welding robotic manipulator adaptive control sliding mode control

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Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

《机械工程前沿（英文）》 2023年第18卷第3期 doi: 10.1007/s11465-023-0753-3

摘要： To achieve the collision-free trajectory tracking of the four-wheeled mobile robot (FMR), existing methods resolve the tracking control and obstacle avoidance separately. Guaranteeing the synergistic robustness and smooth navigation of mobile robots subjected to motion uncertainties in a dynamic environment using this non-cooperative processing method is difficult. To address this challenge, this paper proposes an obstacle-circumventing adaptive control (OCAC) framework. Specifically, a novel anti-disturbance terminal slide mode control with adaptive gains is formulated, incorporating specified control laws for different stages. This formulation guarantees rapid convergence and simultaneous chattering elimination. By introducing sub-target points, a new sub-target dynamic tracking regression obstacle avoidance strategy is presented to transfer the obstacle avoidance problem into a dynamic tracking one, thereby reducing the burden of local path searching while ensuring system stability during obstacle circumvention. Comparative experiments demonstrate that the proposed OCAC method can strengthen the convergence and obstacle avoidance efficiency of the concerned FMR system.

关键词： four-wheeled mobile robot obstacle-circumventing adaptive control adaptive anti-disturbance terminal sliding mode control sub-target dynamic tracking regression obstacle avoidance

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A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

《结构与土木工程前沿（英文）》 2010年第4卷第3期页码 277-286 doi: 10.1007/s11709-010-0072-8

摘要： Real-time testing provides a viable experimental technique to evaluate the performance of structural systems subjected to dynamic loading. Servo-hydraulic actuators are often utilized to apply calculated displacements from an integration algorithm to the experimental structures in a real-time manner. The compensation of actuator delay is therefore critical to achieve stable and reliable experimental results. The advances in compensation methods based on adaptive control theory enable researchers to accommodate variable actuator delay and achieve good actuator control for real-time tests. However, these adaptive methods all require time duration for actuator delay adaptation. Experiments show that a good actuator delay estimate can help optimize the performance of the adaptive compensation methods. The rate of adaptation also requires that a good actuator delay estimate be acquired especially for the tests where the peak structural response might occur at the beginning of the tests. This paper presents a model reference adaptive control based method to identify the parameter of a simplified discrete model for servo-hydraulic dynamics and the resulting compensation method. Simulations are conducted using both numerical analysis and experimental results to evaluate the effectiveness of the proposed estimation method.

关键词： real-time testing actuator delay compensation adaptive control MIT rule discrete transfer function

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Terrain classification and adaptive locomotion for a hexapod robot Qingzhui

Yue ZHAO, Feng GAO, Qiao SUN, Yunpeng YIN

《机械工程前沿（英文）》 2021年第16卷第2期页码 271-284 doi: 10.1007/s11465-020-0623-1

摘要： Legged robots have potential advantages in mobility compared with wheeled robots in outdoor environments. The knowledge of various ground properties and adaptive locomotion based on different surface materials plays an important role in improving the stability of legged robots. A terrain classification and adaptive locomotion method for a hexapod robot named Qingzhui is proposed in this paper. First, a force-based terrain classification method is suggested. Ground contact force is calculated by collecting joint torques and inertial measurement unit information. Ground substrates are classified with the feature vector extracted from the collected data using the support vector machine algorithm. Then, an adaptive locomotion on different ground properties is proposed. The dynamic alternating tripod trotting gait is developed to control the robot, and the parameters of active compliance control change with the terrain. Finally, the method is integrated on a hexapod robot and tested by real experiments. Our method is shown effective for the hexapod robot to walk on concrete, wood, grass, and foam. The strategies and experimental results can be a valuable reference for other legged robots applied in outdoor environments.

关键词： terrain classification hexapod robot legged robot adaptive locomotion gait control

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飞航导弹高精度自适应预测控制设计

孙明玮,陈增强,袁著祉,任强,杨明

《中国工程科学》 2005年第7卷第10期页码 23-27

摘要：

飞航导弹的飞行主要是通过姿态稳定与调节来实现的。通过以小扰动模型为基础的导弹动力学特性分析，建立了导弹姿态控制回路的串级控制结构，并且以离散模型作为基于递推最小二乘法的自适应预测控制的被控对象，把原先响应较慢的质心控制转换为反应较快而且精度高的弹道角控制。根据导弹的特性，在姿态内回路采用广义预测控制，在弹道外回路采用一种积分形式的预测控制。在参考信号上，实现了质心指令到弹道指令的有效变换，为高精度小超调跟踪奠定了基础。这种方法实现了姿态参考信号与导引指令的统一，姿态控制与质心控制的统一，充分降低了对气动等数据的精度要求，参数选择简单。数值仿真结果说明了这种方法的有效性；提出了进一步的研究方向。

关键词：飞航导弹自适应控制模型预测控制鲁棒性

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离心机的自适应鲁棒控制系统

李果,张培昌,胡剑飞,余达太

《中国工程科学》 2006年第8卷第9期页码 30-34

摘要：

为了改善离心机的控制性能和稳定性，进行了离心机的自适应鲁棒控制系统研究；基于电动机与离心机相连的结构，设计了控制器以期得到满意的控制性能；首先提出了一种基于自适应鲁棒控制器的离心机控制系统，针对离心机模型设计了自适应鲁棒控制算法；试验结果证明了该控制算法的有效性；在环境条件不同的情况下，离心机控制系统仍表现了满意的控制性能。

关键词：离心机自适应控制鲁棒控制

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基于价格机制的无线网自适应接纳控制算法

张雪

《中国工程科学》 2006年第8卷第4期页码 32-38

摘要：

为了有效地控制对无线网资源的使用，针对自适应的多媒体应用带宽可以动态调整的特点以及价格对用户行为的影响，提出一种与价格机制相结合的自适应的接纳控制算法，该算法适合于无线网中具有多服务类、多优先级服务的情况，并根据网络当前状况动态地调整价格以缓解拥塞问题。该价格机制力求在有效性和易用性之间做出权衡。最后与未结合价格机制的自适应接纳控制算法进行性能对比表明，将价格机制与接纳控制结合起来，可以很大程度上改善无线网的性能。

关键词：无线网络自适应的接纳控制微观经济学价格机制连接级QoS

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Power maximization of variable-speed variable-pitch wind turbines using passive adaptive neural faulttolerant control

Hamed HABIBI, Hamed RAHIMI NOHOOJI, Ian HOWARD

《机械工程前沿（英文）》 2017年第12卷第3期页码 377-388 doi: 10.1007/s11465-017-0431-4

摘要：

Power maximization has always been a practical consideration in wind turbines. The question of how to address optimal power capture, especially when the system dynamics are nonlinear and the actuators are subject to unknown faults, is significant. This paper studies the control methodology for variable-speed variable-pitch wind turbines including the effects of uncertain nonlinear dynamics, system fault uncertainties, and unknown external disturbances. The nonlinear model of the wind turbine is presented, and the problem of maximizing extracted energy is formulated by designing the optimal desired states. With the known system, a model-based nonlinear controller is designed; then, to handle uncertainties, the unknown nonlinearities of the wind turbine are estimated by utilizing radial basis function neural networks. The adaptive neural fault tolerant control is designed passively to be robust on model uncertainties, disturbances including wind speed and model noises, and completely unknown actuator faults including generator torque and pitch actuator torque. The Lyapunov direct method is employed to prove that the closed-loop system is uniformly bounded. Simulation studies are performed to verify the effectiveness of the proposed method.

关键词： wind turbine nonlinear model maximum power tracking passive fault tolerant control adaptive neural control

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A systematic review of current and emergent manipulator control approaches

Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD

《机械工程前沿（英文）》 2015年第10卷第2期页码 198-210 doi: 10.1007/s11465-015-0335-0

摘要：

Pressing demands of productivity and accuracy in today’s robotic applications have highlighted an urge to replace classical control strategies with their modern control counterparts. This recent trend is further justified by the fact that the robotic manipulators have complex nonlinear dynamic structure with uncertain parameters. Highlighting the authors’ research achievements in the domain of manipulator design and control, this paper presents a systematic and comprehensive review of the state-of-the-art control techniques that find enormous potential in controlling manipulators to execute cutting-edge applications. In particular, three kinds of strategies, i.e., intelligent proportional-integral-derivative (PID) scheme, robust control and adaptation based approaches, are reviewed. Future trend in the subject area is commented. Open-source simulators to facilitate controller design are also tabulated. With a comprehensive list of references, it is anticipated that the review will act as a first-hand reference for researchers, engineers and industrial-interns to realize the control laws for multi-degree of freedom (DOF) manipulators.

关键词： robot control robust and nonlinear control adaptive control intelligent control industrial manipulators robotic arm

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

《机械工程前沿（英文）》 2010年第5卷第2期页码 149-156 doi: 10.1007/s11465-010-0008-y

摘要： With the automation development of manufacturing processes, artificial intelligence technology has been gradually employed to increase the automation and intelligence degree in quality control using statistical process control (SPC) method. In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presented. The fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processes based on the classification on the histograms, which shows that the fuzzy ART neural network can adaptively learn the features of the histograms of the quality parameters in manufacturing processes. As a result, the special disturbance can be automatically detected when a feature of the special disturbance starts to appear in the histograms. At the same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy ART neural network can also be utilized to adaptively detect the abnormal patterns in the control chart.

关键词： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time series analysis

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基座参数欠精确环境下双机械臂刚体夹持系统的自适应神经鲁棒控制 Research

Fan XU, Jin WANG, Guo-dong LU

《信息与电子工程前沿（英文）》 2018年第19卷第11期页码 1316-1327 doi: 10.1631/FITEE.1601707

摘要：针对基座参数欠精确环境下双机械臂刚体夹持系统的自适应调控问题进行研究。提出一种自适应神经鲁棒控制器，能同时解决基座参数欠精确、系统内力、建模不确定性、关节摩擦以及外部干扰等多种问题。该控制器采用一个径向基神经网络来逼近系统包括非预期内力在内的全部动力学部分。结合仿真实验和分析，该控制器能有效保证轨迹跟踪误差渐进收敛于0，并保持内力在可接受范围。在自适应调节机制下，该方法能对系统中双机械臂进一步在线精确标定。为保证系统全局稳定性，该控制器建立定制化鲁棒补偿，结合李雅普诺夫理论，证明该控制器在基座欠精确以及其他多种不确定环境下的鲁棒性。

关键词：协同机械臂；神经网络；欠精确基座平移坐标；自适应控制；鲁棒控制

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Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives

Jianyong YAO

《机械工程前沿（英文）》 2018年第13卷第2期页码 179-210 doi: 10.1007/s11465-018-0464-3

摘要：

Hydraulic servo system plays a significant role in industries, and usually acts as a core point in control and power transmission. Although linear theory-based control methods have been well established, advanced controller design methods for hydraulic servo system to achieve high performance is still an unending pursuit along with the development of modern industry. Essential nonlinearity is a unique feature and makes model-based nonlinear control more attractive, due to benefit from prior knowledge of the servo valve controlled hydraulic system. In this paper, a discussion for challenges in model-based nonlinear control, latest developments and brief perspectives of hydraulic servo systems are presented: Modelling uncertainty in hydraulic system is a major challenge, which includes parametric uncertainty and time-varying disturbance; some specific requirements also arise ad hoc difficulties such as nonlinear friction during low velocity tracking, severe disturbance, periodic disturbance, etc.; to handle various challenges, nonlinear solutions including parameter adaptation, nonlinear robust control, state and disturbance observation, backstepping design and so on, are proposed and integrated, theoretical analysis and lots of applications reveal their powerful capability to solve pertinent problems; and at the end, some perspectives and associated research topics (measurement noise, constraints, inner valve dynamics, input nonlinearity, etc.) in nonlinear hydraulic servo control are briefly explored and discussed.

关键词： hydraulic servo system adaptive control robust control nonlinear friction disturbance compensation repetitive control noise alleviation constraint control

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Convergence performance comparisons of PID, MRAC, and PID+MRAC hybrid controller

Dan ZHANG,Bin WEI

《机械工程前沿（英文）》 2016年第11卷第2期页码 213-217 doi: 10.1007/s11465-016-0386-x

摘要：

This study proposes a hybrid controller by combining a proportional-integral-derivative (PID) control and a model reference adaptive control (MRAC), which named as PID+MRAC controller. The convergence performances of the PID control, MRAC, and hybrid PID+MRAC are also compared. Through the simulation in Matlab, the results show that the convergence speed and performance of the MRAC and the PID+MRAC controller are better than those of the PID controller. In addition, the convergence performance of the hybrid control is better than that of the MRAC control.

关键词： proportional-integral-derivative (PID) control model reference adaptive control hybrid control convergence speed comparison

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Comparative study of various artificial intelligence approaches applied to direct torque control of induction

Moulay Rachid DOUIRI, Mohamed CHERKAOUI

《能源前沿（英文）》 2013年第7卷第4期页码 456-467 doi: 10.1007/s11708-013-0264-8

摘要： In this paper, three intelligent approaches were proposed, applied to direct torque control (DTC) of induction motor drive to replace conventional hysteresis comparators and selection table, namely fuzzy logic, artificial neural network and adaptive neuro-fuzzy inference system (ANFIS). The simulated results obtained demonstrate the feasibility of the adaptive network-based fuzzy inference system based direct torque control (ANFIS-DTC). Compared with the classical direct torque control, fuzzy logic based direct torque control (FL-DTC), and neural networks based direct torque control (NN-DTC), the proposed ANFIS-based scheme optimizes the electromagnetic torque and stator flux ripples, and incurs much shorter execution times and hence the errors caused by control time delays are minimized. The validity of the proposed methods is confirmed by simulation results.

关键词： adaptive neuro-fuzzy inference system (ANFIS) artificial neural network direct torque control (DTC) fuzzy logic induction motor

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双轮铣槽机铣削系统自适应模糊积分滑模转速控制

Qi-yan Tian, Jian-hua Wei, Jin-hui Fang, Kai Guo,jhfang@zju.edu.cn

《信息与电子工程前沿（英文）》 2016年第17卷第1期页码 55-66 doi: 10.1631/FITEE.15a0160

摘要：目的：随着地下连续墙施工工法和双轮铣槽机技术不断发展，实现对双轮铣槽机铣削系统铣轮工作转速的快速精确控制具有重要意义。在负载特性未知、扰动复杂的情况下，本文基于自适应模糊积分滑模（AFISMC）控制算法，实现对铣削系统铣轮转速的良好控制。创新点：在双轮铣槽机铣轮铣削过程中，铣轮转速控制受到岩石和土壤未知负载特性的影响，同时地质条件不断变化。由于岩石和土壤复杂的负载特性，铣轮的切削扭矩与地质条件、铣轮进给速度等均存在耦合关系，而且其动态特性复杂未知，无法建立准确的数学模型。本文针对以上难点，设计新型自适应模糊积分滑模转速控制器。方法：针对双轮铣槽机铣削系统的特性，提出一种基于自适应模糊积分滑模控制（AFISMC）的铣轮转速控制方案。该控制方案将自适应控制的参数自整定特性、积分滑模控制的鲁棒性以及模糊系统独立于数学模型的特性结合起来。通过自适应模糊系统对被控对象未知模型有效逼近，使用反步法对控制器进行设计，采用Lyapunov理论证明整个闭环系统（包括自适应模糊推理系统、积分滑模控制器和被控对象）的稳定性。结论：在双轮铣槽机液压模拟实验台对不同工况下的铣轮转速控制进行实验，分别采用PI、ISMC和AFISMC三种控制方法进行对比。实验结果表明AFISMC控制算法在跟踪和抗干扰方面均表现出良好的控制性能。

关键词：铣削系统；电液系统；铣削转速控制；自适应模糊积分滑模控制

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标题作者时间类型操作

An adaptive sliding mode control technology for weld seam tracking

Jie LIU,Youmin HU,Bo WU,Kaibo ZHOU,Mingfeng GE

期刊论文

Obstacle-circumventing adaptive control of a four-wheeled mobile robot subjected to motion uncertainties

期刊论文

A model reference adaptive control based method for actuator delay estimation in real-time testing

Cheng CHEN, James M. RICLES

期刊论文

Terrain classification and adaptive locomotion for a hexapod robot Qingzhui