A new spherical-type 3-degree-of-freedom parallel mechanism consisting of a two degree-of-freedom parallel module and a serial module is proposed. Two alternative designs for the serial sub-chain are suggested and com...
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ISBN:
(纸本)0780389123
A new spherical-type 3-degree-of-freedom parallel mechanism consisting of a two degree-of-freedom parallel module and a serial module is proposed. Two alternative designs for the serial sub-chain are suggested and compared. The first design employs RU joint arrangement for the serial sub chain structure. The second design incorporates a gear chain to drive the distal revolute joint of the serial sub-chain from the base platform of the mechanism. This modification significantly improves kinematic characteristics of the mechanism within its workspace. Firstly, the closed-form solutions of both the forward and the reverse position analysis are derived. Secondly, the first-order kinematic model with respect to three inputs which are located at the base is derived. Thirdly, it is confirmed through simulation that the modified mechanism has much more improved isotropic characteristic throughout the workspace of the mechanism. Lastly, the proposed mechanism is implemented to verify the results from this analysis.
Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process sinc...
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Today's circuit design process is become a complex task. Sequential logic synthesis is an important part of the circuit design flow. The logic synthesis phase is a bottleneck during the overall design process since heuristic techniques which take a considerable amount of time are often used during this phase. A good solution is realized in a constrained design space by using global optimization techniques. The purpose of this paper is to develop a robust optimization algorithm, that searches the solution space as efficiently as possible in order to find a global optimization of the internal states of a specified circuit, as a global solution to a high level synthesis problem.
The human body exploits "redundant degree of freedom" to execute various motions in a suitable fashion. This work deals with development of effective redundancy resolution algorithms for the motion control o...
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The human body exploits "redundant degree of freedom" to execute various motions in a suitable fashion. This work deals with development of effective redundancy resolution algorithms for the motion control of humanoid. Differently from the typical kinematically redundant robots that are attached to the fixed ground, the ZMP condition should be taken into account in the human body motion in order to guarantee the system stability. For this, a geometric constraint equation is derived by reshaping the existing ZMP equation. This constraint equation is formed like a second order kinematic equation, which enables one to plan the ZMP trajectory in a feedforward fashion. This constraint equation and the kinematic equation of the humanoid model are solved together. A sequential redundancy resolution algorithm exploiting the remaining kinematic redundancy is also proposed to optimize several secondary criteria such as joint limit index and manipulability. The feasibility of the proposed algorithms is verified by simulating a stable standing up motion and a planar walking motion though planar 5 DOF and 6 DOF humanoid models.
This paper introduces the basic idea and provides the mathematical formulation of the delayed feedback control (DFC) methodology, which has been widely used in chaos control. Stability analysis including the well-kn...
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This paper introduces the basic idea and provides the mathematical formulation of the delayed feedback control (DFC) methodology, which has been widely used in chaos control. Stability analysis including the well-known odd number linfitation of the DFC is reviewed. Some new developments in characterizing the limitation of the DFC are presented. Various modified DFC methods, which are developed in order to overcome the odd number limitation, are also described. Finally, some open problems in this research field are discussed.
The focus of this paper is on control design and simulation for an air-breathing hypersonic vehicle. The challenges for control design in this class of vehicles lie in the inherent coupling between the propulsion syst...
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The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with...
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The paper considers a set-membership joint estimation of variables and parameters in complex dynamic networks based on parametric uncertain models and limited hard measurements. The recursive estimation algorithm with moving measurement window is derived that is suitable for on line network monitoring. The window allows stabilising the classic recursive estimation algorithm and significantly improves the estimate tightness. The estimator is validated on a case study water distribution network. Tight set estimates of unmeasured pipe flows, nodal heads and pipe resistances are obtained.
In this paper, we investigate a new type of hybrid element to realize a human-friendly support device. The element is a flexible actuator (called Sponge Core Soft Rubber Actuator) and its structure is a soft mechanism...
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In this paper, we investigate a new type of hybrid element to realize a human-friendly support device. The element is a flexible actuator (called Sponge Core Soft Rubber Actuator) and its structure is a soft mechanism in which a sponge rubber is covered with silicone rubber. In addition to its actuation capability, the element can estimate external forces by making use of the relation between inner pressure and external force. Therefore, the element can be used as a hybrid element that has both actuator and force sensor functions. This paper discusses the hybrid element design, actuator characteristics, and force control and sensing abilities of the element. Experimental results are presented to illustrate the practical effectiveness of the proposed hybrid element.
This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows t...
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This paper explores feedback controller design for cavity flows based on reduced-order models derived using Proper Orthogonal Decomposition (POD) along with Galerkin projection method. Our preliminary analysis shows that the equilibrium of the POD model is unstable and a static output feedback controller cannot stabilize it. We develop Linear Quadratic (LQ) optimal state feedback controllers and LQ optimal observers for the linearized models. The linear controllers and observers are applied to the nonlinear system using simulations. The controller robustness is numerically tested with respect to different POD models generated at different forcing frequencies. An estimation for the region of attraction of the linear controllers is also provided.
The discrete-time speech signals obtained by Nyquist uniform sampling (NUS) have two kinds of redundant samples. One originates from the time-varying instantaneous bandwidth. The other originates from non-compactness ...
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The discrete-time speech signals obtained by Nyquist uniform sampling (NUS) have two kinds of redundant samples. One originates from the time-varying instantaneous bandwidth. The other originates from non-compactness of spectral support (SS) in time-frequency domain (TFD). In this paper, the sub- Nyquist nonuniform sampling (SNNS) and the perfect reconstruction (PR) formula are proposed for removing the redundant samples due to the time-varying instantaneous bandwidth (IB) in speech signals. In the proposed method, the instantaneous sampling frequency (ISF) varies, depending on the least upper boundary of spectral support of a speech signal in TFD. The definition of the IB, which determines the ISF and is used for generating the set of samples that represent continuous- time signals perfectly, is given.
Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce...
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Iterative learning control (ILC) is a powerful control concept that iteratively improves the behavior of processes that are repetitive in nature and cross-coupled control (CCC) has been developed to effectively reduce the contouring error. This paper proposes an integrated controller which combines ILC and CCC to achieve a better performance. In the presented preliminary simulation study, smaller contour error and tracking error can be achieved and moreover, contouring error is less oscillatory because CCC suppresses the inter-axis mismatch "cross error".
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