Position-Sensorless Motion Control of DC Motor

Kambara, Yoshiyuki; Uozumi, Seiji; Nozaki, Tsutomu; Ohnishi, Kouhei

doi:10.1541/ieejias.135.205

Cited by 3 publications

(3 citation statements)

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“…Since the relay needs a larger voltage in order to function than the general relay, this system connects the general relay through series in the front end of the relay to increase the voltage. At the same time, it can protect the single chip from being damaged by the counter EMF of the coil in the relay [24]. Figure 11 depicts the controller architecture of the fish feeder used for this system.…”

Section: Design Of the Intelligent Fish Feedermentioning

confidence: 99%

AIoT Precision Feeding Management System

et al. 2022

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Different fish species and different growth stages require different amounts of fish pellets. Excessive fish pellets increase the cost of aquaculture, and the leftover fish pellets sink to the bottom of the fish farm. This causes water pollution in the fish farm. Weather changes and providing too many or too little fish pellets affect the growth of the fish. In light of the abovementioned factors, this article uses the artificial intelligence of things (AIoT) precision feeding management system to improve an existing fish feeder. The AIoT precision feeding management system is placed on the water surface of the breeding pond to measure the water surface fluctuations in the area of fish pellet application. The buoy, with s built-in three-axis accelerometer, senses the water surface fluctuations when the fish are foraging. Then, through the wireless transmission module, the data are sent back to the receiver and control device of the fish feeder. When the fish feeder receives the signal, it judges the returned value to adjust the feeding time. Through this system, the intelligent feeding of fish can be achieved by adjusting the amount of fish pellets in order to reduce the cost of aquaculture.

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Section: Design Of the Intelligent Fish Feedermentioning

confidence: 99%

AIoT Precision Feeding Management System

et al. 2022

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“…In order to estimate rotor velocity, it must be estimated by using physical phenomenon of DC motors. Therefore, the authors proposed counter electromotive force estimation observer (CFOB) [10].…”

Section: Introductionmentioning

confidence: 99%

“…However, by utilizing conventional PI controller for current control, both current tracking performance and electrical disturbance suppression performance cannot be improved independently. Therefore, voltage disturbance observer (VDOB) was proposed in order to realize robust current control [10]. By using VDOB, CFOB, and DOB, position-sensorless motion control can be realized.…”

Section: Introductionmentioning

confidence: 99%

Disturbance suppression method for position-sensorless motion control of DC brushed motor

Kambara

Uozumi

Ohnishi

2015

2015 IEEE International Conference on Mechatronics (ICM)

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This paper proposes position-sensorless disturbance observer (PSDOB) for DC brushed motor (abbreviated as DC motor later). The aim of this method is to suppress disturbance for position-sensorless motion control of DC motor. At first, block diagram of motor system is transformed and disturbance torque is defined as modeling errors between real motor model and nominal model. Next, disturbance torque is estimated from current reference, voltage reference, and measured current. Finally, estimated disturbance torque is fed back to suppress the disturbance torque. Therefore, robust acceleration control can be realized by utilizing PSDOB. The utility of the proposed method is experimentally verified.

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