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International Conference on Intelligent and Advanced systems, ICIAS

作者： I. Hassanzadeh S. Mobayen H. Kharrati Research Laboratory of Robotics Control Engineering Department Faculty of Electrical & Computer Engineering University of Tabriz Tabriz Iran

In this paper, we present an optimum approach to design a MIMO controller for a manipulator using discrete tabu search (TS) algorithm. In the first step, the TS algorithm is reviewed and then we employ the proposed method in order to assign efficiently the optimal PID controller parameters. The design goal is to minimize the integral absolute error and reduce transient response by minimizing overshoot, settling time and rise time of the system. A 5-bar-linkage is considered as a case study. We define an objective function including these indexes. Then by minimizing this function using discrete TS algorithm, controller parameters design is performed efficiently and quickly. Superior features of this algorithm are fast tuning of PID parameters, rapid convergence, less computational burden and capability to avoid from local minima. Simulation results demonstrate that our proposed TS method compared with other heuristic method, i.e., the genetic algorithm (GA) is more efficient in terms of improving the step response of the robot.

关键词： Robots Algorithm design and analysis Manipulators Cost function MIMO Mathematical model Heuristic algorithms

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Multi-Robot Localization and Mapping Strategy: Utilizing Behavior Based Dynamic Tree Structure and Observer-explorer Routine

Multi-Robot Localization and Mapping Strategy: Utilizing Beh...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Kevin K. Leung Garratt Gallagher Robotics Autonomous Systems and Controls Laboratory (RASCAL) Department of Mechanical and Aeronautical Engineering University of California Davis USA Department of Electrical and Computer Engineering Robotics Autonomus Systems and Control Laboratory (RASCAL) Department of Mechanical and Aeronautical Engineering University of California Davis USA

In this paper, we propose a simultaneous localization and map-building (SLAM) strategy to explore unknown environment. Multiple robots are deployed in unknown area and required to localize each other accurately while exploring. Instead of relying on active obstacle detector, we propose a method of exploration which uses only tactile sensors and inter-robot distance measurements. To avoid dead-reckoning and odometry errors, an observer-explorer based routine is adopted. A dynamic spanning tree structure is implemented for multi-robot coordination. Parent (observer) nodes monitor the distances of their children (explorer) nodes. In order to promote completeness of the map, the reconfigurable spanning tree structure favors unexplored area implicitly. An online behavior-based finite state machine drives the configuration of the structure. Our exploration scheme allows the differentiation between robots and obstacles or boundaries. When an obstacle or boundary is detected, it is recorded on a map that is shared with all other robots. The proposed strategy is simulated and results are presented.

关键词： Tree data structures Robot kinematics Robot sensing systems Simultaneous localization and mapping robotics and automation Distance measurement Automata Service robots Global Positioning System Costs

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Spartacus attending the 2005 AAAI conference

Spartacus attending the 2005 AAAI conference

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作者： Michaud, F. Côté, C. Létourneau, D. Brosseau, Y. Valin, J.-M. Beaudry, E. Raïevsky, C. Ponchon, A. Moisan, P. Lepage, P. Morin, Y. Gagnon, F. Giguère, P. Roux, M.-A. Caron, S. Frenette, P. Kabanza, F. LABORIUS - Research Laboratory on Mobile Robotics and Intelligent Systems Department of Electrical Engineering and Computer Engineering Université de Sherbrooke Sherbrooke Qué. J1K 2R1 Canada CSIRO ICT Center Sydney Australia

Spartacus is our robot entry in the 2005 AAAI Mobile Robot Challenge, making a robot attend the National Conference on Artificial Intelligence. Designing robots that are capable of interacting with humans in real-life settings can be considered the ultimate challenge when it comes to intelligent autonomous systems. One key issue is the integration of multiple modalities (e.g., mobility, physical structure, navigation, vision, audition, dialogue, reasoning). Such integration increases the diversity and also the complexity of interactions the robot can generate. It also makes it difficult to monitor how such increased capabilities are used in unconstrained conditions, whether it is done while the robot is in operation of afterwards. This paper reports solutions and findings resulting from our hardware, software and decisional integration work on Spartacus. It also outlines perspectives in making intelligent and interaction capabilities evolve for autonomous robots. © Springer Science+Business Media, LLC 2007.

关键词： Robots

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Monopedal running control: SLIP embedding and virtual constraint controllers

Monopedal running control: SLIP embedding and virtual constr...

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2007 IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Ioannis Poulakakis J. W. Grizzle Control Systems Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

Two feedback controllers that induce stable running gaits on a three-degree-of-freedom asymmetric hopper, termed the asymmetric spring loaded inverted pendulum (ASLIP), see Fig. 1, are compared in terms of their steady-state and transient behaviors. In each case, feedback is used to create a lower-dimensional hybrid subsystem that determines the existence and stability properties of periodic motions of the full-dimensional closed-loop system. The first controller creates a one degree-of-freedom subsystem through imposing two suitably selected (virtual) holonomic constraints on the configuration variables of the ASLIP. The second controller asymptotically imposes a single (virtual) holonomic constraint to create a two-degree-of-freedom subsystem that is diffeomorphic to a standard spring loaded inverted pendulum (SLIP). The two controllers induce identical steady-state behaviors. Under transient conditions, however, the underlying compliant nature of the SLIP allows significantly larger disturbances to be accommodated, with less actuator effort, and without violation of the unilateral constraints between the leg end and the ground.

关键词： Legged locomotion Springs Leg control systems Steady-state Actuators Adaptive control Predictive models Torso Nonlinear dynamical systems

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TRACKING control IN THE PRESENCE OF NONLINEAR DYNAMIC FRICTIONAL EFFECTS: ROBOT EXTENSION

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Asian Journal of control 2008年第3期1卷

作者： M. Feemster D.M. Dawson A. Behal W. Dixon Matthew Feemster received the B.S degree in Electrical Engineering from Clemson University Clemson South Carolina in December 1994. Upon graduation he remained at Clemson University and received the M.S. degree in Electrical Engineering in 1997. During this time he also served as a research/teaching assistant. His research work focused on the design and implementation of various nonlinear control algorithms with emphasis on the induction motor and mechanical systems with friction present. He is currently working toward his Ph.D. degree in Electrical Engineering at Clemson University. Darren M. Dawson was born in 1962 in Macon Georgia. He received an Associate Degree in Mathematics from Macon Junior College in 1982 and a B.S. Degree in Electrical Engineering from the Georgia Institute of Technology in 1984. He then worked for Westinghouse as a control engineer from 1985 to 1987. In 1987 he returned to the Georgia Institute of Technology where he received the Ph.D. Degree in Electrical Engineering in March 1990. During this time he also served as a research/teaching assistant. In July 1990 he joined the Electrical and Computer Engineering Department and the Center for Advanced Manufacturing (CAM) at Clemson University where he currently holds the position of Professor. Under the CAM director's supervision he currently leads the Robotics and Manufacturing Automation Laboratory which is jointly operated by the Electrical and Mechanical Engineering departments. His main research interests are in the fields of nonlinear based robust adaptive and learning control with application to electro-mechanical systems including robot manipulators motor drives magnetic bearings flexible cables flexible beams and high-speed transport systems. Aman Behal was born in India in 1973. He received his Masters Degree in Electrical Engineering from Indian Institute of Technology Bombay in 1996. He is currently working towards a Ph.D in Controls and Robotics at Clemson University. His research focuses on the control of no

In this paper, we extend the observer/control strategies previously published in [25] to an n -link, serially connected, direct drive, rigid link, revolute robot operating in the presence of nonlinear friction effects modeled by the Lu-Gre model. In addition, we also present a new adaptive control technique for compensating for the nonlinear parameterizable Stribeck effects. Specifically, an adaptive observer/controller scheme is developed which contains a feedforward approximation of the Stribeck effects. This feedforward approximation is used in a composite controller/observer strategy which forces the average square integral of the position tracking error to an arbitrarily small value. Experimental results are included to illustrate the performance of the proposed controllers.

关键词： Friction compensation nonlinear control

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Job shop scheduling problems with Genetic Algorithms

Job shop scheduling problems with Genetic Algorithms

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International Conference on computer engineering and systems

作者： Antonio Ferrolho Manuel Crisostomo Robert Wojcik Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Coimbra Portugal Department of Electrical Engineering Superior School of Technology of Viseu Polytechnic Institute of Viseu Viseu Portugal Institute of Computer Engineering Control and Robotics Wrocław University of Technology Wroclaw Poland

ISBN: (纸本)1424413656;9781424413652

The Job-Shop Scheduling Problem (JSSP) is an extremely difficult problem because it requires very large combinational search space and the precedence constraint between machines. A software tool called Hybrid and Flexible Genetic Algorithm (HybFlexGA) was developed for solving the JSSP. Computational results demonstrate that the proposed HybFlexGA is very efficient and potentially useful in solving the JSSP. The results obtained with standard JSSP benchmark demonstrate its efficiency.

关键词： Job shop scheduling Genetic algorithms Artificial neural networks Space technology Simulated annealing control engineering computing Genetic engineering Robot control control systems Orbital robotics

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Kinematic simulative analysis of virtual potential field method for AUV trajectory planning

Kinematic simulative analysis of virtual potential field met...

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Mediterranean Conference on control and Automation (MED)

作者： M Barisic Z. Vukic N. Miskovic Department of Computer and Control Engineering Laboratory for Underwater Systems and TechnologiesFaculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

This paper deals with an analysis of applicability, capabilities, benefits and pitfalls of using a virtual potential field approach to autonomously planning trajectories in non-communicating autonomous underwater vehicles (AUV-s). Virtual potentials represent an approach to this problem with cross-layer design features. Examples of different layers of control that can be achieved with the same fundamental approach are: obstacle-avoidance, energy-optimal trajectories, forming up with other moving agents, controlled formation fragmentation into well-posed sub-formation etc. This paper shows, on the basis of extensive simulated experiments, that such a trajectory planner based on virtual potentials, guarantees good extendibility, scalability and performance in a hard-real-time hardware-in-the-loop system.

关键词： Kinematics Analytical models Trajectory Computational modeling computer simulation Electric variables measurement Feature extraction Stability Underwater vehicles Communication system control

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Vision aided proportional navigation for micro air vehicles

Vision aided proportional navigation for micro air vehicles

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AIAA Guidance, Navigation, and control Conference 2007

作者： Beard, Randal W. Will Curtis, J. Eilders, Martin Evers, Johnny Cloutier, James R. Brigham Young University Provo UT 84602 United States Air Force Research Laboratory Eglin AFB FL 32542-6810 United States Department of Electrical and Computer Engineering AIAA Munitions Directorate Guidance and Navigation Branch Control Systems Research

ISBN: (纸本)1563479044

Most of the applications envisioned for micro air vehicles require an on-board E(MR camera. It is only natural to investigate using the on-board camera as a sensor for navigation, guidance, and control. This paper investigates the use of an EO/IR sensor as a seeker in a proportional navigation guidance law for micro air vehicles. Proportional navigation strategies require knowledge of the line-of-site rates and range rate between the vehicle and the target. This paper demonstrates how these quantities can be derived from pixel-specific information provided by an EO/IR sensor. The guidance laws are developed for gimbaled and strapdown sensors on both skid-to-turn and bank-to-turn MAV kinematic models.

关键词： Navigation

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Design of state estimators for linear discrete-time systems with constrained error variance

Design of state estimators for linear discrete-time systems ...

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European control Conference (ECC)

作者： Andreas Milias George Bitsoris Department of Electrical and Computer Engineering University of Patras Patras Greece Automatic Control Laboratory ETH Zurich Switzerland Control Systems Laboratory University of Patras Patras Greece

In this paper, the state estimation problem with constrained error variance for linear discrete-time systems is investigated. To this end, in a first stage, the vector variance equation describing the evolution of the state error variance is established. Then, by applying results from the theory of positively invariant polyhedral sets of discrete-time systems, necessary and sufficient conditions for the state error variance to respect linear constraints are developed. Thus, the determination of the state estimator parameters is reduced to a nonlinear programming problem which can be solved by using various optimization algorithms.

关键词： Vectors Equations Hafnium Discrete-time systems Estimation error Linear matrix inequalities Symmetric matrices

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Transfer function identification by using self-oscillations

Transfer function identification by using self-oscillations

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Mediterranean Conference on control and Automation (MED)

作者： N. Miskovic Z. Vukic M. Barisic University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering Laboratory for Underwater Systems and Technologies Zagreb Croatia Faculty of Electrical Engineering and Computing University of Zagreb Laboratory for Underwater Systems and Technologies Zagreb Croatia

The work presented in this paper deals with the process of transfer function identification by using self-oscillation method (autotuning identification method). The algorithm is given in a general matrix form and some modifications are introduced. The modifications of the algorithm include augmentation of the initial algorithm for Type k systems, systems with delays and discrete-time systems. The paper also includes simulation examples which describe the introduced modifications. Apart from being rather simple, this method is applicable to real systems. Its greatest advantage is quick identification of a transfer function (depends on the system).

关键词： Transfer functions Relays Frequency control systems control engineering computing Delay systems Vehicle dynamics Open loop systems Delay effects Feedback

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