This paper presents the design, analysis, and sensorless control of a new self-decelerating permanent-magnet (PM) machine based on magnetic-gear. The key is to integrate the magnetic gear with the PM machine while rem...
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ISBN:
(纸本)9781467324199
This paper presents the design, analysis, and sensorless control of a new self-decelerating permanent-magnet (PM) machine based on magnetic-gear. The key is to integrate the magnetic gear with the PM machine while removing the gear inner rotor. Hence, the proposed motor can achieve the low speed high torque output and high speed compact design requirements as well as high torque density with a simple structure. By using the finite element analysis (FEA), the static characteristics of the proposed motor are analyzed. In order to resolve the problems of using the mechanical sensors, various sensorless control algorithms for estimating rotor speed have been proposed. A method of modelreferenceadaptive system (MRAS) for sensorless control of this new self-decelerating PM motor is described, and the simulation results demonstrate the validity of this proposed algorithm.
This paper presents a new adaptive high speed control algorithm (AHSC) for the permanent magnet synchronous motor (PMSM) drives. This AHSC algorithm has been built by using the modelreferenceadaptive System (MRAS) a...
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ISBN:
(纸本)9781467324199
This paper presents a new adaptive high speed control algorithm (AHSC) for the permanent magnet synchronous motor (PMSM) drives. This AHSC algorithm has been built by using the modelreferenceadaptive System (MRAS) and with reference to the fed inverter variables limitation. The proposal control technique is mathematically formulated and implemented in the two conventional motor control strategies such as the Field Oriented control (FOC) in one hand and the Direct Torque control (DTC) on the other hand. The proposed AHSC is tested through computer simulation using MATLAB/Simulink, where the system efficiency and robustness is verified for a wide speed range and under the two cited drive strategies. The obtained simulations results are satisfactory and confirmed the usefulness of the overall proposed control algorithm.
In this paper, model reference adaptive control (MRAC) is proposed for a single-phase shunt active power filter (APF) to improve line power factor and to reduce line current harmonics. The proposed active power filter...
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Indirect matrix converter (IMC) fed interior permanent magnet synchronous motor (IPMSM) drive is a novel solution for AC adjustable-speed drives with high performance and high efficiency. Position sensorless vector co...
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ISBN:
(纸本)9781424480852
Indirect matrix converter (IMC) fed interior permanent magnet synchronous motor (IPMSM) drive is a novel solution for AC adjustable-speed drives with high performance and high efficiency. Position sensorless vector control technique is applied for the IMC fed IPMSM drive. modelreferenceadaptive system (MRAS) based rotor position estimation method is employed to estimate rotor position and speed. An anti-overflow algorithm is proposed to avoid the data overflow in the digital implementation of sensorless control. Simulations using MATLAB verify the effectiveness of the developed control methods. Some experimental results validate the practical feasibility of this drive system.
In industries now a day the control of chemical process is important craft. Mostly all the chemical process are highly nonlinear in nature this cause instability of the process. This paper deals with basic simulation ...
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Nowadays Lyapunov's second method is the most prevailing solution in adaptivecontrol problems. Despite of the idea being splendid, recently other solutions have come up which seem to be more beneficial in some ca...
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This research presents a new adaptive speed controller for the brushless DC motor. The methodology of model reference adaptive control is applied to a novel model of BLDC motor. This novel model provides the possibili...
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The problem of accommodating unknown sensor bias is considered in a direct model reference adaptive control (MRAC) setting for state tracking using state feedback. Sensor faults can occur during operation, and if the ...
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ISBN:
(纸本)9781600869525
The problem of accommodating unknown sensor bias is considered in a direct model reference adaptive control (MRAC) setting for state tracking using state feedback. Sensor faults can occur during operation, and if the biased state measurements are directly used with a standard MRAC control law, neither closed-loop signal boundedness, nor asymp-totic tracking can be guaranteed and the resulting tracking errors may be unbounded or unacceptably large. A modified MRAC law is proposed, which combines a bias estimator with control gain adaptation, and it is shown that signal boundedness can be accomplished, although the tracking error may not go to zero. Further, for the case wherein an asymp- totically stable sensor bias estimator is available, an MRAC control law is proposed to accomplish asymptotic tracking and signal boundedness. Such a sensor bias estimator can be designed if additional sensor measurements are available, as illustrated for the case wherein bias is present in the rate gyro and airspeed measurements. Numerical example results are presented to illustrate each of the schemes.
In this research, the positioning control of water hydraulic servo cylinder system with the simple adaptivecontrol (SAC) is discussed. Conventional model reference adaptive control (MRAC) also achieves good tracking ...
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In this paper we develop a state feedback Lyapunov-based design of direct model reference adaptive control (MRAC) for a special class of non-linear systems with input and state delays, based only on the lumped-delays ...
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