From the observation of the measured frequency response, the electrical impedance of IPMC has the characteristics of a distributed parameter system. Especially in the case of TEA ion, we found that the frequency respo...
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ISBN:
(纸本)9780819466457
From the observation of the measured frequency response, the electrical impedance of IPMC has the characteristics of a distributed parameter system. Especially in the case of TEA ion, we found that the frequency response cannot be approximated by a simple ideal capacitor or even by low-order transfer functions. In this study, we discuss a black-box circuit modeling of the electrical system of IPMC from the point of view of the frequency response. We employ some models whose transfer functions are not rational. One of such models is a distributed circuit (transmission line). Another is a black-box circuit model with a distributedparameter element (constant phase element). Both transfer functions consist of square root of W. In the experiment, the electrical impedance of an IPMC (gold plated Nafion) is measured under some conditions such as electrode clamp sizes and two cation species, Na ion and TEA ion. Froi.-n the result, we found that the electrode clamp condition less affects the measured impedance. However, we observed that the impedance highly depends on the cation species. From the experimental frequency response, the parameters of the model are identified. Larger resistance and smaller capacitive element are identified in TEA case than those in Na case. The identified parameters are consistent with the physical intuition that TEA ion movement is slower than Na ion.
In this paper, a new sliding mode variable structure control method is proposed based upon the distributedparameter model of flexible manipulator, and the stabilization problem of the system with parameter uncertain ...
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ISBN:
(纸本)9781424415304
In this paper, a new sliding mode variable structure control method is proposed based upon the distributedparameter model of flexible manipulator, and the stabilization problem of the system with parameter uncertain and disturbance is resolved. The variable structure controller is designed by use of the Lyapunov function method, and the sliding surface is designed as a linear combination of rotation angle, rotation angle velocity and root strain of flexible manipulator. The asymptotic stable of the closed-loop system is proved using the semigroup of linear operator and LaSalle invariance principle. Simulation results are presented to validate the design.
The control equation of transient flow on oil pipeline was discretized. Based on extended Kalman filtering, the robust adaptive Kalman filter was designed with fictitious noise compensation method. The input and outpu...
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ISBN:
(纸本)9781424408276
The control equation of transient flow on oil pipeline was discretized. Based on extended Kalman filtering, the robust adaptive Kalman filter was designed with fictitious noise compensation method. The input and output vector of the distributed parameter system (DPS) were created to observe pressures at inlet, outlet and at the middle of the pipeline. The pressures and the flow of pipe sections were estimated by the filter. By means of an example, the errors between the measured values and the estimated values of the mid point on the oil pipeline were compared. The results show that the iteration rate is quicker and the errors are controlled within 3%. This, in turns, can offer a good scheme for monitoring control and operation of the oil pipeline.
This paper discusses the passivity of a one degree-of-freedom rigid master - flexible slave (RMFS) manipulator. First of all, nonlinear motion equations of the RMFS system is derived as a distributed parameter system ...
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ISBN:
(纸本)9784907764289
This paper discusses the passivity of a one degree-of-freedom rigid master - flexible slave (RMFS) manipulator. First of all, nonlinear motion equations of the RMFS system is derived as a distributed parameter system by using the Hamilton's principle. Applied the symmetric bilateral control to the RMFS system, the passivity of the system in the positioning operation is proved by using a Lyapunov function related to the total energy. Moreover, the steady states in pushing operation to an environment is discussed, then the passivity of the system in the neighborhood of the desired state is proved.
To estimate the temperature profiles in a graln-flar-bed heat conduction process, it is important to know tile thcrinal properties accurately. In this paper, online parameter identification of the thermal properties w...
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To estimate the temperature profiles in a graln-flar-bed heat conduction process, it is important to know tile thcrinal properties accurately. In this paper, online parameter identification of the thermal properties was carried out by using the Extended Kalman Filter. A state space model was derived from the mathematical model of the grAnUlar-bed process by use of finite integral transformation, and the Extended Kalman Filter was used to estimate state variables and parameters simultaneously. The proposed parameter-identification method was applied experimentally to a laboratory scale granular-bed process. By using a small number of temperature measuremonts as observed variables, the Extended Kalman Filter provided accurate parameter identification even in the presence of measurement and system noises.
In this paper, a new sliding mode variable structure control method is proposed based upon the distributedparameter model of flexible manipulator, and the stabilization problem of the system with parameter uncertain ...
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ISBN:
(纸本)9781424415304
In this paper, a new sliding mode variable structure control method is proposed based upon the distributedparameter model of flexible manipulator, and the stabilization problem of the system with parameter uncertain and disturbance is resolved. The variable structure controller is designed by use of the Lyapunov function method, and the sliding surface is designed as a linear combination of rotation angle, rotation angle velocity and root strain of flexible manipulator. The asymptotic stable of the closed-loop system is proved using the semigroup of linear operator and LaSalle invariance principle. Simulation results are presented to validate the design.
The hybrid use of generalized dimensional analysis - shortened to the acronym GDA - and neural networks is a powerful tool that can be employed for the solution of differential equations modeling physical processes. T...
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The hybrid use of generalized dimensional analysis - shortened to the acronym GDA - and neural networks is a powerful tool that can be employed for the solution of differential equations modeling physical processes. The GDA combines dimensional, inspectional, and also order of magnitude analysis in order to come up with the best scheme to reduce the number of variables in a problem. Its implementation reduces the input variable space, and thus reduces the number of training input vectors needed for model development. This leads to two positive effects: simulation time is reduced and more accuracy is achieved. The method is applied for the solution of sets of partial differential equations describing the performance of petroleum reservoirs. The results obtained prove the effectiveness of this approach when compared to the traditional discretisation simulation schemes. (c) 2006 Elsevier Inc. All rights reserved.
We consider two finite element model updating problems, which incorporate the measured modal data into the analytical finite element model, producing an adjusted model on the (mass) damping and stiffness, that closely...
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We consider two finite element model updating problems, which incorporate the measured modal data into the analytical finite element model, producing an adjusted model on the (mass) damping and stiffness, that closely matches the experimental modal data. We develop two efficient numerical algorithms for solving these problems. The new algorithms are direct methods that require O(nk(2)) and O(nk(2) + k(6)) flops, respectively, and employ sparse matrix techniques when the analytic model is sparse. Here n is the dimension of the coefficient matrices defining the analytical model, and k is the number of measured eigenpairs.
A space/time transform parameterization is used to model the upper profile section of a morphing airfoil. The parameterization allows for the quantification of morphing spatial performance in terms of a spatial bandwi...
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A space/time transform parameterization is used to model the upper profile section of a morphing airfoil. The parameterization allows for the quantification of morphing spatial performance in terms of a spatial bandwidth. Airfoil morphing from one shape to another allows the system to use-minimal energy during the process. A multivariable response matrix is then formulated for the distributed parameter system, and standard control synthesis tools are applied to achieve a robust dynamic shape controller. The space/time parameterization results in a spatially decoupled system with Fourier coefficients as inputs and orthogonal basis shapes as outputs. A proof-of-concept simulation, which demonstrates the efficacy of a dynamically commanded airfoil profile, is presented.
It is found from the locomotion of snake-like underwater robot using Ionic Polymer-Metal Composite (IPMC) as its actuator that, although we specify the same amplitude of driven voltages to each segmented IPMC unit, th...
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ISBN:
(纸本)0819462217
It is found from the locomotion of snake-like underwater robot using Ionic Polymer-Metal Composite (IPMC) as its actuator that, although we specify the same amplitude of driven voltages to each segmented IPMC unit, the resultant bending amplitudes along the body's progressive waves change from small to large toward the robot's tail. To analyze this phenomenon, which is also observed in locomotions of slender fishes, we discuss the modeling and analysis of bending motions of IPMC actuators using the Euler-Bernoulli beam theory. Eigenfunction expansion technique is used to solve the model of a partial differential equation. The envelope curve can be drawn by the obtained solution, and simulation results reappear the same phenomenon. Deflection of the real robot is measured by video camera and laser beam. Experimental results verifies the validity of the proposed model. parameter identification is also performed with measured data.
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