This paper presents the kinematic and dynamic analysis of an n -link manipulator with flexible members. The deformation of a link from its rigid body position is modeled by a homogeneous transformation. The dynamic eq...
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This paper presents the kinematic and dynamic analysis of an n -link manipulator with flexible members. The deformation of a link from its rigid body position is modeled by a homogeneous transformation. The dynamic equations are obtained using Euler-Lagrange formulation. These equations are compared to those describing a rigid link mechanism.
For an optimal parametric linear quadratic (LQ) control problem, a design objective is to determine a controller of constrained structure such that the closed-loop system is asymptotically stable and an associated per...
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For an optimal parametric linear quadratic (LQ) control problem, a design objective is to determine a controller of constrained structure such that the closed-loop system is asymptotically stable and an associated performance measure is optimized. In the presence of system uncertainty, the system via a parametric LQ design is further required to be robust in terms of maintaining the closed-loop stability with a guaranteed cost bound. This problem is referred to as ‘robust optimal parametric LQ control with a guaranteed cost bound’ and is addressed in this work. A new design method is proposed to find an optimal controller for simultaneously guaranteeing robust stability and performance over a specified range of parameter variations. The results presented generalize some previous work in this area. A versatile numerical algorithm is also given for computing the robust optimal gains. The usefulness of the design method is demonstrated by numerical examples and a design of the robust control of a VTOL helicopter.
Recent advancements in intelligent robotics have substantially heightened the demand for multidimensional haptic sensors. Traditional haptic sensors are constrained by their sensitivity, anti-interference capabilities...
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A new technique for the digital control of continuous time systems is presented. This technique is based on a table look-up algorithm. To minimize the number of entries in the table, a grid embedding process is propos...
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A new technique for the digital control of continuous time systems is presented. This technique is based on a table look-up algorithm. To minimize the number of entries in the table, a grid embedding process is proposed. Using this process, an accurate, fast, and low-cost controller can be constructed using a table of a few thousand entries. The paper derives the control strategy and proposes a digital circuit to implement the controller. An example is presented in which the performance of a closed-loop digital controller is compared with that of an optimal regulator. The comparison shows that the performance of the new controller is very close to that of an equivalent optimal controller
A dynamic model that represents an exact linearization scheme with a simplified nonlinear feedback is presented. To realize this model for robotic systems, the output functions should be chosen so that a special decom...
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A dynamic model that represents an exact linearization scheme with a simplified nonlinear feedback is presented. To realize this model for robotic systems, the output functions should be chosen so that a special decomposition of the total inertial matrix is satisfied. The concept of an imaginary robot is utilized to achieve the formulation and to solve the realization problem. Two illustrative examples are given in the paper, one for the Stanford arm and the other for a PUMA type of robot. An optimal robotic physical design and a control system design based on the new model are also discussed.
Existing event-based synthetic aperture imaging (SAI) methods can reconstruct unobstructed images of the background target scene behind dense foreground occlusions from visual information captured by an event camera. ...
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A potential panel method is proposed to solve the collision-free path planning problem for a free-flying robot operating in an obstacle filled 3-D environment. The problem is solved in three steps: (1) transform the a...
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A potential panel method is proposed to solve the collision-free path planning problem for a free-flying robot operating in an obstacle filled 3-D environment. The problem is solved in three steps: (1) transform the arbitrary shaped obstacles in the 3-D workspace into simple convex polyhedrons;(2) generate an artificial potential field using the 3-D panel method in the 3-D workspace;(3) generate a streamline from the starting position towards the goal position in the artificial potential held. The computational complexity of the pertinent algorithms justify the efficiency of the approach and its applicability in real-time. Simulation results illustrate the potential of the proposed approach. The reported research is the outgrowth of the 2-D method, already published.(1)
The paper examines the use of knowledge-based techniques to generate a framework for the active rescheduling of an automated guided vehicle system in a manufacturing environment. Our approach to active rescheduling us...
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The paper examines the use of knowledge-based techniques to generate a framework for the active rescheduling of an automated guided vehicle system in a manufacturing environment. Our approach to active rescheduling uses 'cues' drawn from events on the shop-floor to trigger rescheduling. Simulation experiments are used to capture knowledge about the shop-floor and various scheduling strategies. An extensible agent architecture is developed to facilitate active rescheduling.
Making informed economic decisions based on agricultural data is challenging without proper crop management. Data has become the single most important part of modern farming, and its rapid evolution is a major contrib...
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Human interaction challenges for intelligent environmental control software involve finding the right balance between automation and the flexibility for human involvement. automation is needed to relieve people from t...
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