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In order to meet the requirements of the magnetron sputtering, an asymmetric bipolar pulsed power supply based on DSP is presented in this paper. It can freely adjust the pulse parameters including pulse amplitude, frequency, duty cycle, and even the number and transition time of the positive and negative pulse according to the sputtering demands. Finally, a 5kW/ 100kHz prototype is designed. It adopts...
A fuzzy sliding mode controller based on radial basis function neural network (RBFNN) for permanent magnet synchronous machine (PMSM) is investigated in this paper, in which direct torque control (DTC) concept, variable structure control and space vector modulation (SVM) are integrated to achieve high performance. Fuzzy logic is used to adjust the gain of the corrective control of the sliding mode...
When a linear model is used for controlling nonlinear systems solely, it can't satisfy accuracy requirement. Whereas, although a neural network can deal with the accuracy problem, it may lead to instability. In this paper, an adaptive controller is proposed for nonlinear dynamical systems based on linear model and quasi-ARX neural network model. A switching algorithm is designed between the linear...
A challenge in designing a RF MEMS switch is the determination of its parameters to satisfy the application requirements. Often this is done through a set of comprehensive time consuming simulations. This paper employs neural networks and develops a supervised learner that is capable of determining S11 parameter for a RF MEMS shunt switch. The inputs are the length its L and the height of its gap...
Networks on chip (NoC), a new packet-based design method, with a new dependable no deadlock (DND) back-tracking routing algorithm are proposed to implement artificial neural network (ANN). This system is simulated by NIRGAM NoC simulator to get system performance. Experimental results show that this proposed system has higher connection-per-second (CPS), lower communication load than the exiting other...
This letter concerns with robust exponential stability of stochastic neural networks with Markovian switching. By applying Lyapunov functional method, a sufficient stabilization condition is developed in terms of matrix inequalities. The result is also compared with the previously reported results in the literature. Finally, one simulation example is provided to illustrate the effectiveness of the...
To solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control (DTC) for permanent magnet synchronous motor (PMSM) drive, a novel DTC method using space vector pulse width modulation (SVM) is proposed based on analysis of PMSM mathematical model. In this novel DTC system of PMSM , traditional torque hysteresis controller and flux hysteresis...
Z-Source inverters have recently been proposed as new power conversion concept as they have both voltage buck and boost features. A unique impedance network between the power source and converter circuit provides both voltage buck and boost properties, which cannot be achieved with conventional voltage-source and current-source inverters. This paper presents a neural network control system that control...
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