A Unified SCR Model for Continuous Topology CADA

Avant, Roger L.; Lee, Fred C.

doi:10.1109/tie.1984.350090

Cited by 46 publications

(4 citation statements)

References 5 publications

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“…The controller attempts to minimize the error by adjusting the process control inputs. [1][2][3][4][5][6][7][8] The PI controller calculation (algorithm) involves three separate constant parameters, and is accordingly sometimes called three-term control: the proportional, the integral and derivative values, denoted P and I. Heuristically, these values can be interpreted in terms of time: P depends on the present error, I on the accumulation of past errors, and derivation is a prediction of future errors, based on current rate of change. The weighted sum of these three actions is used to adjust the process via a control element such as the position of a control valve, a damper, or the power supplied to a heating element.…”

Section: Ntroductionmentioning

confidence: 99%

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Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor

Singh

Kaur

2013

IJCT

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than theÂ conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PIÂ controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motorÂ Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strongÂ ability to adapt to the significant change of system parameters.

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Section: Ntroductionmentioning

confidence: 99%

“…We next design a FLC carrying out fuzzy tuning of the output of the Z-N PI controller to issue adequate torque commands. The results show that the incorporation of the proposed controller into the DFOIM drives can yield superior and robust variable speed tracking performance [2,3,7,33].…”

Section: Ntroductionmentioning

confidence: 99%

Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor

Singh

Kaur

2013

IJCT

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“…[3] Macro-model is based on the external characteristics of the device, where sub-circuits including components which can be accepted by general circuit simulation software are used to simulate the device. Many attempts had been made to model thyristors, based on either its physical attribute [4] or external performance [5,6] , some focused on the switching identity [7~9] , others sticking at accurate transient analysis. [10,11] In this paper, a simple PSpice model for high-power thyristor is proposed, which is based on the device behavior rather than on the physical structure.…”

Section: Introductionmentioning

confidence: 99%

A simple model of high-power thyristor and its application in EML transient analysis

Zhou

Yan

Sun

et al. 2009

2009 IEEE Pulsed Power Conference

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High-power solid-state devices are introduced to electromagnetic launchers (EML) as leading switch technology, which make the systems superior of improved energy efficiency and reduced volume. The semiconductor device models available in most circuit simulation software packages do not accurately characterize high-power thyristors for thermal management and snubber design. A simple PSpice model for high-power thyristor is proposed, which is based on the device behavior rather than on the physical structure. The model is used to analyze capacitor-based pulsed power circuits for experimental railgun system. Extensive simulations have been performed to examine the model characteristics. Also, the factors influencing waveform of discharging current and system efficiency are discussed

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“…The coefficient P1 is given by where (9) VTp is the threshold voltage of the PMOS and dVGA/dt is the rate of change of gate to anode voltage. The regenerative feedback in the MCT starts at t = td,, and the device fully turns on at t = Go, + tri.…”

Section: (8)mentioning

confidence: 99%

Switching characteristics and PSPICE model of an MCT

Yuvarajan

Quek

Weimer³

Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting

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The paper presents a gate control measurements. The complete circuit of a dc chopper circuit for an MCT and studies its switching was simulated using PSPICE and the simulated characteristics. The response times and switching loss responses are compared with the experimental are accurately measured under different operating conditions. The paper also presents a simple PSPICE responses. circuit model for the MCT which can be used to analyze MCT power converters. The parameters of the model are determined from the manufacturer's specifications and some simple measurements. The complete circuit of a dc chopper was simulated using PSPICE and the simulated responses are compared with the experimental responses.

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A Unified SCR Model for Continuous Topology CADA

Cited by 46 publications

References 5 publications

Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor

Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor

A simple model of high-power thyristor and its application in EML transient analysis

Switching characteristics and PSPICE model of an MCT

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