The prerequisite for new versatile grippers is the capability to locate and perceive protests in their surroundings. It is realized that automated controllers are profoundly nonlinear frameworks, and a faultless numer...
The prerequisite for new versatile grippers is the capability to locate and perceive protests in their surroundings. It is realized that automated controllers are profoundly nonlinear frameworks, and a faultless numerical model is hard to get, in this way making it troublesome to control utilizing tried and true procedure. Here, a design of an adaptive compliant gripper is presented. This design of the gripper has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the controlsystem the ability to control input displacement of the gripper and to recognize specific shapes of the grasping objects. Since the conventional control strategy is a very challenging task, soft computing based controllers are considered as potential candidates for such an application. In this study, the polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) to estimate and predict optimal inputs displacement of the gripper according to experimental tests and shapes of grasping objects. Instead of minimizing the observed training error, SVR poly and SVR rbf attempt to minimize the generalization error bound so as to achieve generalized performance. The experimental results show that an improvement in predictive accuracy and capability of generalization can be achieved by the SVR approach compared to other soft computing methodology.
The transverse stability is one of the most important characteristics of the ship in survivability. This factor can be influenced by wind, moving cargoes and passengers. In order to avoid maritime accidents due to par...
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This paper presents Classification of Voltage Problem Using Support Vector Machine(SVM) of electrical power system using Least Squares Support Vector Machine(LS-SVM) algorithm and implemented on IEEE-39 bus New-Englan...
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This paper presents Classification of Voltage Problem Using Support Vector Machine(SVM) of electrical power system using Least Squares Support Vector Machine(LS-SVM) algorithm and implemented on IEEE-39 bus New-England system. The data was collected from the time domain simulation by using input to the LS-SVM classification, and LS-SVM PTSI estimation on Least Squares Support Vector Machine, which is used as a predictor to determine the dynamic voltage collapse indices by increasing of the power in load buses. The Kernel function type and Kernel parameter are considered. In order to verify the effectiveness of the proposed LS-SVM classification and estimation method, its performance is compared with the Learning Vector Quantization(LVQ). The results shows that both the LS-SVM classification and estimation are faster and better by 100%, compared to LVQ with 61.538 %, which has one misclassification.
The wind-up effect is a phenomenon known mostly from implementing PI(D) controllers in real operation when saturation of the manipulated variable may occur and cause worse control results. Nowadays many publications e...
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An enhanced remote control of real models has been implemented in our virtual control laboratory http://***. As before, user can control the model via the Internet using an ordinary personal computer. The innovation l...
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In this paper describes the speed output of DC motor. The DC motor is controlled by DC converter which is using the PLL controller. This proposed is designed and implemented the current output of the DC-DC chopper whi...
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In this paper describes the speed output of DC motor. The DC motor is controlled by DC converter which is using the PLL controller. This proposed is designed and implemented the current output of the DC-DC chopper which fed to DC motor based on close-loop control. The close-loop control is obtained the small signal from the tachogenerator and encoder. The encoder is converted the small signal to similar PWM waveform feedback to PLL detector that is adjusted the PWM signal driven into DC chopper. In order control to applied high precision speed of DC motor.
In this paper, control of the output voltage in 11-level inverter is presented. The inverter is controlled by using pulse width modulation (PWM) technique. A novel 11-inverter source fed induction motor drive with sin...
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ISBN:
(纸本)9780889869455
In this paper, control of the output voltage in 11-level inverter is presented. The inverter is controlled by using pulse width modulation (PWM) technique. A novel 11-inverter source fed induction motor drive with sinusoidal voltage and current waveform is proposed. Variable frequency inverters to high precision in order control the speed of induction motor. The current in the inverter source can be controlled as constant or vary the magnitude of inverter current reference. The propose is controlled speed and decreased total harmonic distortion (THD) of output in the inverter which it fed to induction motor with V/F control.
Many studies about improving the performance of biped robots, especially energy efficiency and waking speed have been done. These properties, however, are secondary to the robot ability to prevent falling down on irre...
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ISBN:
(纸本)9781479973989
Many studies about improving the performance of biped robots, especially energy efficiency and waking speed have been done. These properties, however, are secondary to the robot ability to prevent falling down on irregular grounds. In this paper, we propose a novel method which uses an active up-and-down wobbling mass to improve walking ability and robustness of biped robot on uneven terrain. We will show improvements that the number of walk steps is increased in numerical simulations using the proposed method. We also evaluate quantitatively walking ability of biped robot on uneven terrain using a performance measure called Gait Sensitivity Norm (GSN) and H ∞ norm. Furthermore, we show the effectiveness of H ∞ norm measure which cannot be evaluated by GSN in a walking example.
This paper presents a comparative study of the influence of different aggregated electrical circuit battery models in the sizing process of a hybrid energy storage system (ESS), composed by Li-ion batteries and superc...
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This paper presents a comparative study of the influence of different aggregated electrical circuit battery models in the sizing process of a hybrid energy storage system (ESS), composed by Li-ion batteries and supercapacitors (SCs). The aim is to find the number of cells required to propel a certain vehicle over a predefined driving cycle. During this process, three battery models will be considered. The first consists in a linear static zeroeth order battery model over a restricted operating window. The second is a non-linear static model, while the third takes into account first- order dynamics of the battery. Simulation results demonstrate that the adoption of a more accurate battery model in the sizing of hybrid ESS's prevents over-sizing, leading to a reduction in the number of cells of up to 29%, and a cost decrease of up to 10%.
Nowadays the systems have often a complex structure and it is relatively difficult to ensure their reliability. Therefore it is important to predict reliability of systems already at design phase. This way is suitable...
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