Development and implementation of self-tuning tracking controller for DC motors

El-Sharkawi, M.A.; Weerasooriya, S.

doi:10.1109/60.50823

Cited by 51 publications

(9 citation statements)

References 11 publications

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“…According to their scheme, the control is mainly contributed by the dominant controller in the early stage of the control process. As CMAC gradually learns the inverse dynamics of the plants, the control is shifted from the dominant controller to CMAC, and then accurate control is achieved [20][21][22][23][24][25][26][27][28][29] From this viewpoint, a CMAC-based controller for a PMSM is designed and implemented. In this article, we do not need to optimize the gain of the PI controller.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of the CMAC-Based Controller for Permanent Magnet Synchronous Motor

Tseng

2005

Electric Power Components and Systems

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In this article, the most common behavior of motor's motion is roughly classified into two categories: normal mode (NM) and continuous mode (CM). By the categories, we can concurrently transform the independent command data such as position, velocity and acceleration (A * , V * , and D * ) ordered by user into the dependent . Then we apply a cerebellar-model-articulationcontroller (CMAC) as an auxiliary controller with a dominant proportional-integral (PI) controller to accomplish the position, velocity and acceleration motion control of a permanent-magnet synchronous motor (PMSM). At this time, we do not need to optimize the gain of the PI controller.In fact, when the system is stable, users can order any independent command data to control the behavior of a motor's motion. It is seen that the tracking error performance of the system with CMAC-based controller is always better than systems without it. Especially in the early period of the response, the tracking error performance of the system without CMAC-based controller is always larger than the systems with it.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of the CMAC-Based Controller for Permanent Magnet Synchronous Motor

Tseng

2005

Electric Power Components and Systems

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“…over a noisy multiminima response surface. Adaptive control of dc servomotors rely on such techniques as Self Tuning pole assignment [Brickwedde, 1985;Weerasooriya et al, 1989;El-Sharkawi et al, 1990], Model Reference [Naitoh et al, 1987;Chalam, 1987] and Variable Structure Control (VSC) for preselected trajectory tracking performance in guidance systems and robustness in high performance applications. This is in response to changing process operating conditions (El-Sharkawi et al, 1994) typified by changing load inertia in robots, EVs and machine tools.…”

Section: Mathematical Modelling and Simulation Of A Pwm Inverter Contmentioning

confidence: 99%

Mathematical Modelling and Simulation of a PWM Inverter Controlled Brushless Motor Drive System from Physical Principles for Electric Vehicle Propulsion Applications

Guinee¹

2011

Electric Vehicles - Modelling and Simulations

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“…A fast controller is an essential feature of such a drive system . The objective of a speed controller is to manipulate the terminal voltage in a specified trajectory with minimum deviation [4,5,6] .…”

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confidence: 99%

“…In many drive applications, the variation of motors and load parameters make the conventional tracking controllers unsatisfactory [4]. Many control techniques have been developed for tracking DC motor [1][2][3][4][5][6][7] . However , among of these controllers , fuzzy logic controller (FLC) is an efficient and easy algorithm to control the speed of such high performance DC motors .…”

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confidence: 99%

Tracking Control of a PM Pancake DC Motor With Fuzzy Logic Technique

Khalifa¹,

Gawish²,

Badr

et al. 1999

The International Conference on Electrical Engineering

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This paper introduces a fuzzy logic control (FLC) technique for controlling the speed of PM pancake DC motor . In this case the rotor speed of the DC motor follows an arbitrary selected trajectory . The rotor speed is given in a digital form over the control period, under different mechanical loading conditions. These are, constant load, linear load and quadratic load.The control objective is to achieve accurate trajectory control of the speed , for motors of different parameters and different loading conditions.Simulation results show that the fuzzy logic controller (FLC) is efficient in speed tracking of DC motors in comparison with conventional PI controller.

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Development and implementation of self-tuning tracking controller for DC motors

Cited by 51 publications

References 11 publications

Design and Implementation of the CMAC-Based Controller for Permanent Magnet Synchronous Motor

Design and Implementation of the CMAC-Based Controller for Permanent Magnet Synchronous Motor

Mathematical Modelling and Simulation of a PWM Inverter Controlled Brushless Motor Drive System from Physical Principles for Electric Vehicle Propulsion Applications

Tracking Control of a PM Pancake DC Motor With Fuzzy Logic Technique

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