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Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)最新文献

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Sliding mode based disturbance compensation for motion control 基于滑模的运动控制扰动补偿
P. Korondi, D. Young, H. Hashimoto
The main contribution of this paper is a sliding mode based design of a discontinuous disturbance estimator used in feedback compensation of parameter uncertainties and exogenous disturbances. The experimental system is a transputer controlled single-degree-of-freedom motion control system, it consists of a conventional DC servo gear motor with encoder feedback and variable inertia load coupled by a relatively rigid shaft. The servo system is forced to follow an ideal model. The relative big parameter perturbation, external disturbance and friction are estimated and compensated. Experimental results are presented.
本文的主要贡献是基于滑模的不连续干扰估计器的设计,用于参数不确定性和外源干扰的反馈补偿。实验系统是一个由变频器控制的单自由度运动控制系统,它由带编码器反馈的常规直流伺服齿轮电机和相对刚性轴耦合的变惯量负载组成。伺服系统被迫遵循一个理想模型。对较大的参数扰动、外部扰动和摩擦进行了估计和补偿。给出了实验结果。
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引用次数: 11
Visual servo control in consideration of visual distortion of object 考虑物体视觉畸变的视觉伺服控制
S. Fukushima, T. Murakami, K. Ohnishi
This paper describes a feature based visual servo control considering the object distortion on the image plane. In the visual servo control of the manipulator with the hand/eye system realizing the stable convergence to target feature points with visual distortion, it is necessary to control not only the tip position but also the direction of the hand/eye system. To control both motions at the same time, the redundant manipulator is useful. In the proposed method, the rotational motion is controlled by null space input to reduce the visual distortion. Furthermore, to realize the stable motion convergence, the null space input gain is adjusted by fuzzy logic. To confirm the validity of the proposed method, simulation and experimental results are shown.
本文提出了一种考虑图像平面上物体畸变的基于特征的视觉伺服控制方法。在具有手/眼系统的机械手视觉伺服控制中,要实现对具有视觉畸变的目标特征点的稳定收敛,不仅需要控制尖端位置,还需要控制手/眼系统的方向。为了同时控制两种运动,冗余机械手是有用的。在该方法中,旋转运动由零空间输入控制,以减少视觉畸变。为了实现稳定运动收敛,采用模糊逻辑对零空间输入增益进行调整。为了验证该方法的有效性,给出了仿真和实验结果。
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引用次数: 0
A novel algorithm in solving nonlinear equations for programmed PWM inverter to eliminate harmonics 一种新的程序化PWM逆变器非线性方程的消谐波算法
J.W. Chen, T. Liang
The preprogrammed PWM inverters eliminate low-order harmonies by optimizing the switching angles. In this paper a novel method for solving nonlinear equations in preprogrammed PWM Inverters is presented. The starting values for solving the nonlinear equation, are derived from the equal area algorithm. This method guarantees convergence in a numerical solution for solving nonlinear equations so that the trial-and-error processes can be significantly reduced. The numerical solutions for nonlinear equations for a full range of the fundamental amplitude can be easily obtained. Thus, this method makes fundamental amplitude modulation feasible and is helpful for online control. The output pattern of the proposed programmed PWM technique is superior to the equal area algorithm in harmonic attenuation since this technique eliminates the specified harmonics. The experimental results are used to verify the performance of the proposed scheme.
预编程PWM逆变器通过优化开关角度消除低阶谐波。本文提出了一种求解预编程PWM逆变器非线性方程的新方法。求解非线性方程的起始值由等面积算法导出。该方法保证了求解非线性方程的数值解的收敛性,从而大大减少了试错过程。对于非线性方程,在整个基本振幅范围内,可以很容易地得到数值解。因此,该方法使基幅调制可行,有利于在线控制。所提出的程序化PWM技术的输出模式在谐波衰减方面优于等面积算法,因为该技术消除了指定的谐波。实验结果验证了所提方案的性能。
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引用次数: 36
Optimization of cubic polynomial joint trajectories and sliding mode controllers for robots using evolution strategy 基于进化策略的机器人三次多项式关节轨迹优化及滑模控制器
Kee-Whan Kim, Hyun-Sik Kim, Y. Choi, Jin‐Hyun Park
This paper presents a minimum-time trajectory planning method and a tracking control scheme for robot manipulators. In the first step, we find the minimum-time trajectories by optimizing cubic polynomial joint trajectories using the evolution strategy. In the second step, by the use of the evolution strategy we tune the sliding mode controller parameters for the robot manipulator to track precisely the trajectories that were found in the previous step. Experimental results show that the proposed method is very useful.
提出了一种机器人机械手的最小时间轨迹规划方法和跟踪控制方案。第一步,利用进化策略对三次多项式联合轨迹进行优化,找到最小时间轨迹。在第二步中,利用进化策略对机器人的滑模控制器参数进行调整,以精确跟踪上一步中找到的轨迹。实验结果表明,该方法是非常有效的。
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引用次数: 16
Properties of higher order correlation function tests for nonlinear model validation 非线性模型验证中高阶相关函数检验的性质
Q. M. Zhu, S. Billings
Problems related to nonlinear model validation are addressed and properties associated with nonlinear detection, diagnostic power and asymptotic correction are analysed.
讨论了与非线性模型验证有关的问题,并分析了非线性检测、诊断能力和渐近校正相关的性质。
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引用次数: 5
Sensing of groove gap and torch position using neural network in pulsed MIG welding 脉冲MIG焊接中坡口间隙和焊枪位置的神经网络感知
K. Eguchi, S. Yamane, S. Horinaka, T. Kubota, K. Oshima
It is important to realize intelligent welding robots to obtain a good quality of the weld. For this purpose, it is required to detect root gap of the groove and deviation from center of the gap to center of the weaving. In order to simultaneously detect those, the authors propose an arc sensor using neural networks (NN). Both arc length and wire extension are found by NN. The root edges of the groove and its center are estimated geometrically. Training data are made from experimental results. Performance of the arc sensor is examined by giving testing data to the neural networks.
实现智能焊接机器人是获得良好焊接质量的重要手段。为此,需要检测沟槽的根部间隙和间隙中心到织造中心的偏差。为了同时检测这些电弧,作者提出了一种基于神经网络(NN)的电弧传感器。用神经网络求出弧长和导线伸长。用几何方法估计槽的根边及其中心。训练数据来源于实验结果。通过向神经网络提供测试数据来检验电弧传感器的性能。
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引用次数: 2
Application of genetic algorithm to scheduling problem of robot control computation 遗传算法在机器人控制计算调度问题中的应用
K. Tagawa, T. Fukui, H. Haneda
This paper presents a new method for solving the scheduling problem of robot control computation based on the genetic algorithm (GA). It is proved that the scheduling problem belongs to the class of NP-hard problems. For the scheduling problem, the authors have already proposed two algorithms: one is a heuristic approach and the other is based on branch-and-bound approach. These conventional algorithms, however, have the limits of their ability in quality of solutions and computational time. The scheduling problem is a typical partitioning problem: partitioning N objects into P groups to optimize an objective function. Therefore, each feasible solution is represented by a way of division of a suffix set (1,...,N) into P subsets. In the proposed GA for the scheduling problem, such a feasible solution is regarded as a phenotypic individual. Then this paper proposes a new phenotype based crossover operation named "weighted-edge crossover". By using the proposed crossover, a child inherits the desirable characteristic from both parents, keeping its structure as a feasible solution. Furthermore, in order to improve the performance of the crossover operation, this paper proposes a distance function between phenotypic individuals and uses it in the adaptive control of crossover rate. To demonstrate the efficiency of the proposed GA, comparative study with the conventional algorithms is carried out on several experiments.
提出了一种基于遗传算法求解机器人控制计算调度问题的新方法。证明了调度问题属于np困难问题。对于调度问题,作者提出了两种算法:一种是启发式算法,另一种是基于分支定界法的算法。然而,这些传统的算法在解的质量和计算时间上都有局限性。调度问题是一个典型的分区问题:将N个对象划分为P组,以优化一个目标函数。因此,每个可行解用后缀集(1,…,N)划分为P个子集的方式来表示。在提出的调度问题遗传算法中,这种可行解被视为表型个体。在此基础上,提出了一种新的基于表现型的交叉操作——加权边交叉。通过使用所提出的交叉,子代从父母双方继承所需的特征,保持其结构作为一个可行的解决方案。此外,为了提高交叉操作的性能,本文提出了表型个体间的距离函数,并将其用于交叉率的自适应控制。为了证明所提遗传算法的有效性,在若干实验中与传统算法进行了比较研究。
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引用次数: 3
An adaptive current control scheme for high-performance AC drives 高性能交流驱动器的自适应电流控制方案
Ming‐Fa Tsai, Y. Tzou
In this paper, a self-tuning adaptive current controller for high-performance AC drives is presented. The adaptive current controller, which operates in the stationary two-axis frame to provide the persistently exciting condition for parameter estimation convergence, consists of a one-step-ahead predictive controller and a model estimator. The predictive controller's parameters are adjusted adaptively on line in terms of estimated model parameters. Estimating the model parameters entails a first-order four-dimensional least-squares estimator with exponential data weighting to detect the variations of the motor parameters and the back EMF. The proposed adaptive control scheme is implemented in parallel by IMS T800-20 transputers. Simulation results show the effectiveness of the proposed adaptive current control scheme.
本文提出了一种用于高性能交流驱动器的自调谐自适应电流控制器。自适应电流控制器由一步前移预测控制器和模型估计器组成,在固定的两轴框架中工作,为参数估计的收敛提供持续激励条件。根据预估的模型参数在线自适应调整预测控制器的参数。模型参数的估计需要一个一阶四维最小二乘估计器,该估计器具有指数数据加权,以检测电机参数和反电动势的变化。所提出的自适应控制方案由IMS T800-20转换器并行实现。仿真结果表明了所提出的自适应电流控制方案的有效性。
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引用次数: 1
Nonlinear controllers for saturated AC motors 饱和交流电动机的非线性控制器
L. Gokdere, M. Simaan, C. Brice
Two passivity-based controllers and an input-output linearization controller for current-fed saturated induction motors are presented. Advantages and disadvantages of the controllers are discussed. Finally, experimental results obtained with one of the passivity-based controllers are presented.
针对电流馈电饱和感应电动机,提出了两种基于无源性的控制器和一种输入输出线性化控制器。讨论了控制器的优缺点。最后,给出了一种基于无源控制器的实验结果。
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引用次数: 0
Adaptive control of switching DC-DC converters based on a grid point approach: design and implementation 基于网格点方法的DC-DC变换器开关自适应控制:设计与实现
F. Leung, T.C.T. Ng, P. Tam
Regarding switching converters as highly nonlinear plants with inherent parameter uncertainties, the deleterious effects due to large disturbances in line voltage and load resistance are tackled by a grid-point control approach which owns merits in both performance and cost-effectiveness. Design and experimental results based on a boost converter are given.
针对开关变流器作为一种具有固有参数不确定性的高度非线性装置,采用一种具有性能和成本效益优点的电网点控制方法来解决线路电压和负载电阻大扰动所带来的有害影响。给出了基于升压变换器的设计和实验结果。
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引用次数: 2
期刊
Proceedings of the IECON'97 23rd International Conference on Industrial Electronics, Control, and Instrumentation (Cat. No.97CH36066)
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