Search results for "Nonholonomic system"

showing 7 items of 7 documents

Intelligent Adaptive Motion Control for Ground Wheeled Vehicles

2014

In this paper a new intelligent adaptive control is applied to solve a problem of motion control of ground vehicles with two independent wheels actuated by a differential drive. The major objective of this work is to obtain a motion control system by using a new fuzzy inference mechanism where the Lyapunov’s stability can be assured. In particular the parameters of the kinematical control law are obtained using an intelligent Fuzzy mechanism, where the properties of the Fuzzy maps have been established to have the stability above. Due to the nonlinear map of the intelligent fuzzy inference mechanism (i.e. fuzzy rules and value of the rule), the parameters above are not constant, but, time a…

Adaptive control Electric wheeled vehicles Fuzzy control system Lyapunov’s stability Motion Control Nonholonomic systems.Settore ING-INF/04 - Automatica
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Nonholonomic Interpolation for Kinematic Problems, Entropy and Complexity

2008

Here we present the main lines of a theory we developed in a series of previous papers, about the motion planning problem in robotics. We illustrate the theory with a few academic examples.

Computer Science::RoboticsNonholonomic systemMathematical optimizationbusiness.industryApplied mathematicsRoboticsArtificial intelligenceMotion planningKinematicsOrthonormal framebusinessMathematics
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Predictive Intelligent Fuzzy Control for Cooperative Motion of Two Nonholonomic Wheeled Cars

2007

In this paper a problem of intelligent cooperative motion control of two wheeled nonholonomic cars (target and follower) is considered. Once a target car converges to a fixed state (position and orientation), a follower car coming from different position and orientation, converges to the state above, without excessive delay between the known arrival time of the target car and the arrival time of the follower. In this sense we present a new predictive fuzzy control system. A Kalman's filter and an odometric model are used to predict the future position and orientation of the target car. The prediction above is employed to plane a circular nonholonomic reference motion for the follower car. A…

Nonholonomic systemEngineeringbusiness.industryControl engineeringFuzzy control systemKalman filterMotion controlFuzzy logicModel predictive controlSettore ING-INF/04 - AutomaticaControl theoryPosition (vector)Intelligent control Fuzzy control Motion control Kinematics Velocity control Intelligent transportation systems Delay effects Vehicle dynamics State estimation Error correctionbusinessIntelligent control2007 IEEE Intelligent Transportation Systems Conference
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A new fuzzy robust dynamic controller for autonomous vehicles with nonholonomic constraints

2005

Abstract In this paper a novel algorithm with a dynamic fuzzy controller applied to the control of trajectory of vehicles with two independent wheels is proposed. An automatic control of trajectory of a vehicle can behave in a not efficient way. It is necessary to consider the friction of the actuators and possible perturbations coming from the outside environment, as for instance the variable characteristics of the ground where the vehicle moves. These perturbations, which depend also on the contact between the wheel and the ground, involve violations of nonholonomic constraints. Thus it is necessary to compensate for these perturbations to obtain a robust control system. The controller sy…

Lyapunov functionMathematical optimizationAdaptive controlAutomatic controlComputer scienceGeneral MathematicsFuzzy logicComputer Science::Roboticssymbols.namesakeExponential stabilityControl theoryNonholonomic systemAdaptive neuro fuzzy inference systembackstepping controlautonomous vehicleFuzzy control systemComputer Science Applicationsnonholonomic systemFuzzy controllerControl and Systems EngineeringBacksteppingsymbolsTrajectoryRobust controlActuatorrobust controlSoftwareRobotics and Autonomous Systems
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Fuzzy Control Strategy for Cooperative Non-holonomic Motion of Cybercars with Passengers Vibration Analysis

2021

The cybercars are electric road wheeled non-holonomic vehicles with fully automated driving capabilities. They contribute to sustainable mobility and are employed as passenger vehicles. Non-holonomic mechanics describes the motion of the cybercar constrained by non-integrable constraints, i.e. constraints on the system velocities that do not arise from constraints on the configuration alone. First of all there are thus with dynamic nonholonomic constraints, i.e. constraints preserved by the basic Euler-Lagrange equations (Bloch, 2000; Melluso, 2007; Raimondi & Melluso, 2006-a). Of course, these constraints are not externally imposed on the system but rather are consequences of the equations…

Nonholonomic systemComputer scienceHolonomicControl engineeringKalman filterFuzzy control systemKinematicsMotion controlComputer Science::RoboticsCybercars motion control passengers vibration intelligent controlSettore ING-INF/04 - AutomaticaControl theoryBacksteppingTrajectoryCybercars Fuzzy Control Passengers vibration analysis.
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Fuzzy EKF Control for Wheeled Nonholonomic Vehicles

2006

In this paper a new Fuzzy extended Kalman robust control system for position and orientation tracking of nonholonomic vehicles with two wheels actuated by two independent DC motors is presented. The problem of robustness and localization are solved simultaneously. About the robustness, some perturbations coming from the outside environment and depending on the contact between the wheels and the ground, involve violations of the nonholonomic constraints. The fuzzy controller of this work is able to obtain a dynamic term of robustness with respect to the perturbations above. However, by using encoders only, the measures of actual position and orientation of the vehicle are with Gaussian noise…

Nonholonomic systemEngineeringControllersbusiness.industryControl engineeringKalman filterFuzzy control systemnonholonomic wheeledComputer Science::RoboticsExtended Kalman filterRobustness (computer science)Control theoryControl systemMobile robotsRobust controlbusinessIECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
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Fuzzy cooperative control of automated ground passenger vehicles

2007

In this paper a fuzzy motion control for cooperative passenger automated vehicles where there are not collisions between the closest ones is proposed. Based on the position of the target and on the initial position of each cooperative vehicle, a supervisory plans nonholonomic circular trajectories which are without intersections, while a fuzzy control strategy assures the asymptotical stability of the motion errors and the reaching of the target with low acceleration values along the planned trajectories. Based on the ISO 2631-1 standard, the saturation properties of the fuzzy maps guarantees low values of the longitudinal and lateral accelerations to assure the comfort of the passengers. T…

Nonholonomic systemEngineeringFuzzy control Automatic control Land vehicles Road vehicles Trajectory Acceleration ISO standards Motion control Motion planning Asymptotic stabilitybusiness.industryStability (learning theory)Control engineeringFuzzy control systemMotion controlFuzzy logicComputer Science::RoboticsAccelerationSettore ING-INF/04 - AutomaticaExponential stabilityControl theoryPosition (vector)business2007 IEEE Conference on Emerging Technologies & Factory Automation (EFTA 2007)
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