Adaptive Approach to Motion Controller of Linear Induction Motor with Friction Compensation

Huang, Chun-Jen; Fu, Li‐Chen

doi:10.1109/tmech.2007.901945

Cited by 58 publications

(17 citation statements)

References 19 publications

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“…PID, state-space controllers, artificial neural networks, and FL based controllers are the techniques applied for motion control. Huang et al [ 22 ] proposed a nonlinear adaptive controller for a linear position tracking. The end effect of the linear induction motor is used in the design, and the impact of friction dynamics is considered to design an observer-based compensation to face the friction force.…”

Section: Introductionmentioning

confidence: 99%

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

García-Martínez

Cruz-Miguel

Carrillo-Serrano

et al. 2020

Sensors

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Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements in order to reach a desired position decreasing the steady error and energy consumption. In this paper, a new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that is based on direct fuzzy relations is proposed in order to compute the PID constants. The motion control algorithm is composed by PID-type FLC and S-curve velocity profile, which is developed in C/C++ programming language; therefore, a license is not required to reproduce the code among embedded systems. The self-tuning controller is carried out online, it depends on error and change in error to adapt according to the system variations. The experimental results were obtained in a linear platform integrated by a direct current (DC) motor connected to an encoder to measure the position. The shaft of the motor is connected to an endless screw; a cart is placed on the screw to control its position. The rise time, overshoot, and settling time values measured in the experimentation are 0.124 s, 8.985% and 0.248 s, respectively. These results presented in part 6 demonstrate the performance of the controller, since the rise time and settling time are improved according to the state of the art. Besides, these parameters are compared with different control architectures reported in the literature. This comparison is made after applying a step input signal to the DC motor.

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Section: Introductionmentioning

confidence: 99%

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

García-Martínez

Cruz-Miguel

Carrillo-Serrano

et al. 2020

Sensors

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show abstract

“…References [12][13][14][15][16] propose adaptive control strategies to address the problems caused by nonlinear friction in mechanical positioning systems. Yuki in [17] studied the motion mechanism of an X-Y micro-stage which designed and constructed for precision positioning of light Weight objects.…”

Section: Introductionmentioning

confidence: 99%

Low Cost X-Y Core Positioning System Using Stepper Motor

Abdelhamid¹,

Abdeldayem

Mabrouk

2018

The International Conference on Applied Mechanics and Mechanica

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X-Y positioning is an important task in industrial applications, as this system is used for welding, cutting or for pick and place applications. The studied X-Y core positioning system is a parallel X-Y position device, which due to less moved masses is potentially capable of fast acceleration and therefore faster positioning than traditional stacked systems. A kinematic model of X-Y core positioning system is derived, which used for accurate position control in X-Y stage of the cart using low cost stepper motor and low cost controller (Arduino Mega2560). The proposed design of X-Y core positioning system which has 8 pulleys and two open ended derive-belts and have the double size of all designs that introduced in this field has its advantages of fast design, simplicity and flexibility. The system is very much simple, rugged, and cost effective. The experimental results show that the proposed system has a high resolution, repeatability and error is within acceptable limit. The proposed strategy used to control positioning in X-Y stage enable accurate cart positioning with max error percentage less than 5%.

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“…However, majority of these ECs describe the steady-state behavior of LIM. Huang, et al [7] considered longitudinal end effect as a braking force in the mechanical equation of LIM. Duncan's EC [8] is similar to a rotary induction motor except that some modifications are applied to the parallel magnetizing branch to consider longitudinal end effect.…”

Section: Introductionmentioning

confidence: 99%

MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms

Holakooie¹,

Taheri²,

Sharifian³

2015

Journal of Power Electronics

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This paper deals with model reference adaptive system (MRAS) speed estimators based on a secondary flux for linear induction motors (LIMs). The operation of these estimators significantly depends on an adaptation mechanism. Fixed-gain PI controller is the most common adaptation mechanism that may fail to estimate the speed correctly in different conditions, such as variation in machine parameters and noisy environment. Two adaptation mechanisms are proposed to improve LIM drive system performance, particularly at very low speed. The first adaptation mechanism is based on fuzzy theory, and the second is obtained from an LIM mechanical model. Compared with a conventional PI controller, the proposed adaptation mechanisms have low sensitivity to both variations of machine parameters and noise. The optimum parameters of adaptation mechanisms are tuned using an offline method through chaotic optimization algorithm (COA) because no design criterion is given to provide these values. The efficiency of MRAS speed estimator is validated by both numerical simulation and real-time hardware-in-the-loop (HIL) implementations. Results indicate that the proposed adaptation mechanisms improve performance of MRAS speed estimator.

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Adaptive Approach to Motion Controller of Linear Induction Motor with Friction Compensation

Cited by 58 publications

References 19 publications

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications

Low Cost X-Y Core Positioning System Using Stepper Motor

MRAS Based Speed Estimator for Sensorless Vector Control of a Linear Induction Motor with Improved Adaptation Mechanisms

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