Agent-based consensus on speed in the network-coupled DC motors

Masroor, Suhaib; Peng, Chen

doi:10.1007/s00521-016-2773-y

Cited by 11 publications

(11 citation statements)

References 23 publications

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“…Where ℛ is the armature resistance, ℓ is the armature inductance, current, is the speed, is the armature voltage, is the motor inertia, and electromotive force (emf) constant, is the motor design constant and Φ is the mo DC motor is joined with the buck converter, the transformation in the inductor c voltage is presented as is the inductor current, E is the voltage supply. While the DC motor model is presented as given in [28]. Lemma 3.…”

Section: System Modelingmentioning

confidence: 99%

“…While the DC motor model is presented as given in [28]. Where ℛ is the armature resistance, ℓ is the armature inductance, is the armature current, is the speed, is the armature voltage, is the motor inertia, and ℯ is the motor back electromotive force (emf) constant, is the motor design constant and Φ is the motor field flux.…”

Section: System Modelingmentioning

confidence: 99%

“…The state space model of the buck converter is given in [28]. Where ∁ is the capacitance, ℓ is the inductance, ∁ is the capacitor voltage, ℓ is the i current, is the voltage supply.…”

Section: System Modelingmentioning

confidence: 99%

“…Where ∁ is the capacitance, ℓ is the inductance, ∁ is the capacitor voltage, ℓ is the i current, is the voltage supply. While the DC motor model is presented as given in [28].…”

Section: System Modelingmentioning

confidence: 99%

“…eling ic motor system proposed in this paper consists of a Buck converter driving a DC te space model of the buck converter is given in [28].…”

Section: System Modelingmentioning

confidence: 99%

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Event Triggered Multi-Agent Consensus of DC Motors to Regulate Speed by LQR Scheme

Masroor

Peng

Ali

2017

MCA

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Abstract:In the presented paper, the leader-following consensus algorithm of a multi-agent system (MAS) is used along with the centralized event-triggering scheme to make the speed of the network-coupled multiple-motors synchronizable. In the proposed method, the updates for the controller are event-driven based on local information. Moreover, the basic consensus protocol is also revised such that the speed information of the motors is used in order to reach identical speed. The main benefit of the planned event-triggered methodology is the energy saving by avoiding the continuous control of the system. As far as stability analysis of the system is concerned, a common Lyapunov function is incorporated to validate stability. The acquired results endorse the success of the proposed methodology.

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Section: System Modelingmentioning

confidence: 99%

Section: System Modelingmentioning

confidence: 99%

Section: System Modelingmentioning

confidence: 99%

“…Where ∁ is the capacitance, ℓ is the inductance, ∁ is the capacitor voltage, ℓ is the i current, is the voltage supply. While the DC motor model is presented as given in [28].…”

Section: System Modelingmentioning

confidence: 99%

“…eling ic motor system proposed in this paper consists of a Buck converter driving a DC te space model of the buck converter is given in [28].…”

Section: System Modelingmentioning

confidence: 99%

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