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检索条件"机构=Department of Electrical and Computer Engineering Systems Control and Robotics Laboratory"

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An Electric Ray Inspired Biomimetic Autonomous Underwater Vehicle

An Electric Ray Inspired Biomimetic Autonomous Underwater Ve...

引用

American control Conference

作者： P. Krishnamurthy F. Khorrami J. de Leeuw M. E. Porter K. Livingston J. H. Long Control/Robotics Research Laboratory (CRRL) Department of Electrical and Computer Engineering Polytechnic Institute of NYU Brooklyn NY 11201 Vassar College Poughkeepsie NY 12604

ISBN: (纸本)9781424474264

The development of a novel Biologically-inspired (or Biomimetic) Autonomous Underwater Vehicle (BAUV) inspired by the Pacific electric ray is addressed. The design and hardware implementation of experimental prototypes of the "RayBot" BAUV are described. Extensive observations of live electric rays provided key biological inspirations in the development of the BAUV. As part of the effort, a six degree-of-freedom impulse-based multi-body approach for modeling and simulation of BAUVs was also developed and validated through comparison with experimental data.

关键词： Torpedinidae Autonomous underwater vehicles underwater vehicles Biomimetics

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On asymptotic consensus value in directed random networks

On asymptotic consensus value in directed random networks

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IEEE Conference on Decision and control

作者： Victor M. Preciado Alireza Tahbaz-Salehi Ali Jadbabaie Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA General Robotics Automation Sensing and Perception (GRASP) Laboratory Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)9781424477456

We study the asymptotic properties of distributed consensus algorithms over switching directed random networks. More specifically, we focus on consensus algorithms over independent and identically distributed, directed random graphs, where each agent can communicate with any other agent with some exogenously specified probability. While different aspects of consensus algorithms over random switching networks have been widely studied, a complete characterization of the distribution of the asymptotic value for general asymmetric random consensus algorithms remains an open problem. In this paper, we derive closed-form expressions for the mean and an upper bound for the variance of the asymptotic consensus value, when the underlying network evolves according to an i.i.d. directed random graph process.

关键词： Eigenvalues and eigenfunctions Switches Markov processes Silicon Upper bound Closed-form solution Convergence

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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7th Annual International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.

关键词： Friction

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Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

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International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing robotics and automation Chirp Intelligent robots control systems Laboratories

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Wijin Suteeratanapirom Rapeepong Rattanawaorahirankul Chutima Laosapan Peerayot Sanposh Nattapon Chayopitak Kanokvate Tungpimolrut Hiroaki Kunieda TAIST Tokyo Technology China Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

关键词： Friction computer numerical control Metalworking machines Servomotors Three-term control Fasteners Rails Servomechanisms Torque control Error correction

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Nonlinear Model Predictive control using sampling and goal-directed optimization

Nonlinear Model Predictive Control using sampling and goal-d...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Damion D. Dunlap Charmane V. Caldwell Emmanuel G. Collins Department of Mechanical Engineering and the Center for Intelligent Systems Control and Robotics (CISCOR) Florida Agricultural and Mechanical University Tallahassee FL USA Department of Electrical and Computer Engineering CISCOR of the FAMU-FSU COE USA Department of Mechanical Engineering CISCOR of the FAMU-FSU COE USA

In this paper a novel method called Sampling-Based Model Predictive control (SBMPC) is proposed as an efficient MPC algorithm to generate control inputs and system trajectories. The algorithm combines the benefits of sampling-based motion planning with MPC while avoiding some of the major pitfalls facing both traditional sampling-based planning algorithms and traditional MPC. The method is based on sampling (i.e., discretizing) the input space at each sample period and implementing a goal-directed optimization method (e.g., A*) in place of standard numerical optimization. This formulation of MPC readily applies to systems with nonlinear dynamics and avoids the local minima which can limit the performance of MPC algorithms implemented using traditional, derivative-based, nonlinear programming. The SBMPC algorithm is compared with a more standard online MPC algorithm using cluttered environment navigation for an Ackerman steered vehicle and a set point problem for a nonlinear, continuous stirred-tank reactor (CSTR).

关键词： Optimization Planning Vehicles Prediction algorithms Trajectory Heuristic algorithms Predictive models

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LPV modeling of guided projectiles for terminal guidance

LPV modeling of guided projectiles for terminal guidance

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Mediterranean Conference on control and Automation (MED)

作者： Spilios Theodoulis Yannick Morel Philippe Wernert Anthony Tzes Guidance Navigation & Control Department French German Research Institute of Saint Louis Saint-Louis France Systems & Measurements Laboratory Electrical & Computer Engineering Department University of Patras Rio Greece

This article presents a detailed study concerning the equilibrium analysis and the linear parameter-varying (LPV) modeling of the six degrees-of-freedom (6DoF) nonlinear model of a fin-guided, gun-launched projectile. The equilibrium manifold of the system is obtained through a minimal vector of parameters characterizing its flight envelope and a maneuverability analysis involving the attainable vertical acceleration is presented. In the following, an analytic linear parameter varying model of the airframe yaw/pitch axes is derived and several issues concerning its scope and internal structure are discussed. Finally, an application of these results on a single trajectory point is performed and the resulting linear time-invariant (LTI) model is analyzed in terms of pole/zero location and internal stability.

关键词： Projectiles Aerodynamics Acceleration Mathematical model Atmospheric modeling Analytical models Trajectory

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Inferring motion uncertainty from shape-Matching

Inferring motion uncertainty from shape-Matching

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Zuolei Sun Joop van de Ven Fabio Ramos Xuchu Mao Hugh Durrant-Whyte Department of Instrumentation Engineering School of Electronic Information and Electrical Engineering Navigation & Control Laboratory Shanghai Jiaotong University Shanghai China Australian Centre for Field Robotics ARC Centre of Excellence for Autonomous Systems University of Sydney NSW Australia

ISBN: (纸本)9781424450381;9781424450404

This paper proposes a novel method for computing robot motion uncertainty from ranging sensor data. The method utilises the recently proposed CRF-Matching procedure which matches laser scans based on shape descriptors. Motion estimates are computed in a probabilistic framework by performing inference on a probabilistic graphical model. We propose an efficient sampling procedure for obtaining probable association hypothesis of the probabilistic graphical model. The hypothesis are used to generate estimates on the uncertainty of translational and rotational movements of the robot. Experiments demonstrate the benefits of the approach on simulated data sets and on laser scans from an urban environment. The approach is also combined with the well-established delayed-state information filter for a large-scale outdoor simultaneous localisation and mapping task.

关键词： Uncertainty Laser modes Graphical models Robot motion Shape Motion estimation Sampling methods Delay Information filters Large-scale systems

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Modeling and Passivity-Based control of the Pierburg mechatronic actuator

Modeling and Passivity-Based Control of the Pierburg mechatr...

引用

Conference on control and Fault-Tolerant systems (SysTol)

作者： A. Kebairi S. Cai M. Becherif M. El Bagdouri Laboratory SET UTBM Belfort France Department of computer science SET UTBM Belfort France Department of Electrical Engineering and control systems SET UTBM Belfort France Department of Engineering and Process' Management SET UTBM Belfort France

In this paper, we present an overall study focused on the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The obtained model from the identification procedure is sufficiently closer to the practical actuator behavior and captures most of its characteristics. This mechatronic actuator is subject of parameter variation during its life span. A nonlinear control based on the Interconnection and Damping Assignment Passivity-Base control (IDA-PBC) is designed in order to ensure the desired performances. Simulation results show the efficiency of both the obtained model and the control strategy.

关键词： Friction DC motors Actuators Mathematical model Shafts Mechatronics Torque

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Design and experimental implementation of a compliant hybrid zero dynamics controller for walking on MABEL

Design and experimental implementation of a compliant hybrid...

引用

IEEE Conference on Decision and control

作者： Koushil Sreenath Hae-Won Park Ioannis Poulakakis J. W. Grizzle Control Systems Laboratory Electrical Engineering and Computer Science Department University of Michigan Ann Arbor MI USA Mechanical Engineering Department University of Michigan Ann Arbor MI USA Mechanical Engineering Department University of Delaware Newark DE USA

This paper extends the method of virtual constraints and hybrid zero dynamics, developed for rigid robots with a single degree of underactuation, to MABEL, a planar biped with a novel compliant transmission. A time-invariant feedback controller is designed for realizing exponentially stable waking gaits in such a way that the closed-loop system preserves the natural compliance of the system, and therefore the energetic benefits of springs. This is accomplished by incorporating the compliance into the hybrid zero dynamics. The compliant-hybrid-zero-dynamics-based controller is implemented experimentally and shown to realize stable walking gaits which make use of the compliance to store and return energy to the gait.

关键词： Leg Springs Legged locomotion Torso Actuators Robot kinematics

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