A Practical Scheme for Induction Motor Modelling and Speed Control

Shi, Xinxin; Li, Hongsheng; Huang, Jin

doi:10.14257/ijca.2014.7.4.11

Cited by 7 publications

(3 citation statements)

References 22 publications

(19 reference statements)

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“…Induction motors have been serving as a major workforce in various industrial applications [1,2] due to their robustness and ease of maintenance. Despite the fact that technologies used in induction motor drive systems are well-established, the drive system still draws control researchers' attention due to its complicated dynamical properties [3,5].…”

Section: Introductionmentioning

confidence: 99%

Backstepping Control for Induction Motors with Input and Output Constrains

Nguyễn

2020

Eng. Technol. Appl. Sci. Res.

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In practice, the applied control voltage for an induction motor drive system fed by a voltage source inverter has a limit depending on the DC bus capacity. In certain operations such as accelerating, the motor might require an excessively high voltage value that the DC bus cannot supply. This paper presents a control solution for the bounded control input problem of the induction motor system by flexibly combining a hyperbolic tangent function in a backstepping control design procedure. In addition, the barrier Lyapunov function is also employed to force speed tracking error in a defined value. The closed-loop system stability is proven, and the proposed control is verified through numerical simulations.

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Section: Introductionmentioning

confidence: 99%

Backstepping Control for Induction Motors with Input and Output Constrains

Nguyễn

2020

Eng. Technol. Appl. Sci. Res.

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“…On the other hand, in order to meet the highly responsive requirements, data-driven algorithms, such as the classic PID control, have large differential coefficient and are more likely to cause system instability [12]. For discrete-time nonlinear systems, MFAC (Model-Free Adaptive Control) uses a new dynamic linearization method and a concept of pseudo-partial derivative.…”

Section: Introductionmentioning

confidence: 99%

Model-Free Adaptive Control of Direct Drive Servo Valve of Electromagnetic Linear Actuator

Zhu

Dai

Wang

2018

Mathematical Problems in Engineering

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An electromagnetic linear actuator (EMLA) has a promising application in direct motion control. However, ELMA will inevitably inherit uncertainties in the face of load changes, system parameter perturbation, and inherent system nonlinearities, all of which constitute disturbances adversely affecting the precision and adaptability of the control system. A model-free adaptive control (MFAC) strategy based on full form dynamic linearization (FFDL) was proposed to reduce the sensitivity of the control system to the disturbances. An adaptive control of direct drive servo valve was achieved based on the online interaction of characteristic parameters and control algorithms. The feasibility and precision of the proposed algorithm were verified through simulation and experimental results. The results show that the proposed algorithm could achieve adaptive adjustment of the servo valve response at different openings of 0-3 mm without changing control parameters, with the response time controlled within 10ms and steady state error less than 0.04mm. Furthermore, the proposed algorithm had better robustness and capacity of resisting disturbance.

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“…And bibliography [7,8] identified induction motor rotor time constant. And bibliography [9] researched the speed control of induction motor. Moreover, there is bibliography [10] presented a method for estimating overhead line parameters.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Inverse System Control of Electromagnetic Linear Actuator

Zhu¹,

Chang²

2015

IJCA

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Against EMLA (Electromagnetic Linear Actuator) in the long-running, the changed parameters of actuator coil resistance and inductance caused by temperature rise resulted in degradation of control performance, and parameters recondition in the inverse system control program. By using parameter identification method based on recursive least squares method (RLSM), the adaptive inverse system control is implemented in electromagnetic linear actuator. Under Matlab/Simulink it establishes the simulation model to simulate online identification process and the adaptive inverse control system strategy which achieve the control effect when the parameters change, and the test data are identified off-line verification. The results show that it is able to accurately identify the actuator coil resistance and inductance parameters, and at the same time, it can identify system's dynamic mass, viscous friction coefficient and disturbance force of load. Finally, the test platform was built to verify, the identification results was used to control parameters online real-time. And the parameters identification was used in the practical application of inverse system control, implemented system's adaptive control, improved system's robustness in long run.

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A Practical Scheme for Induction Motor Modelling and Speed Control

Abstract: Abstract

Cited by 7 publications

References 22 publications

Backstepping Control for Induction Motors with Input and Output Constrains

Backstepping Control for Induction Motors with Input and Output Constrains

Model-Free Adaptive Control of Direct Drive Servo Valve of Electromagnetic Linear Actuator

Adaptive Inverse System Control of Electromagnetic Linear Actuator

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