Robust adaptive neural network control for switched reluctance motor drives
نویسندگان
چکیده
منابع مشابه
Digital Control of Switched Reluctance Motor Drives
drives are designed to increase product performance and system efficiency. One such motor type which can benefit from digital control is the switched reluctance (SR) motor. The SR motor brings advantages in both cost and reliability over other types of adjustable speed drives. These include its simple mechanical construction, high efficiency and high power density. On the other hand, large torq...
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In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...
متن کاملEnergy-Based Adaptive Sliding Mode Speed Control for Switched Reluctance Motor Drive
Torque ripple minimization of switched reluctance motor drives is a major subject based on these drives’ extensive use in the industry. In this paper, by using a well-known cascaded torque control structure and taking the machine physical structure characteristics into account, the proposed energy-based (passivity-based) adaptive sliding algorithm derived from the view point of energy dissipati...
متن کاملrobust control of encoderless synchronous reluctance motor drives based on adaptive backstepping and input-output feedback linearization techniques
in this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (synrm) drive system is proposed. a combination of well-known adaptive input-output feedback linearization (aiofl) and adaptive backstepping (abs) techniques are used for speed tracking control of synrm. the aiofl controller is capable of estimating motor two-axis inductances ...
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ژورنال
عنوان ژورنال: Automatika
سال: 2018
ISSN: 0005-1144,1848-3380
DOI: 10.1080/00051144.2018.1486797