Neuro-fuzzy speed control of traveling-wave type ultrasonic motor drive using frequency and phase modulation

Chen, Tien Chi; Yu, Chih Hsien; Chen, Chun‐Jung; Tsai, Mi Ching

doi:10.1016/j.isatra.2008.04.001

Cited by 23 publications

(4 citation statements)

References 24 publications

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“…In this system, rotor speed of TWUSM is controlled by using only driving frequency controller. A new driver based on dual-mode frequency and phase control is developed by Chen et al [8]. This study is realized same peak voltage values in TWUSM speed control [8].…”

Section: Introductionmentioning

confidence: 96%

A novel microcontroller based speed control method employing current controller for TWUSM

Gencer¹

2013

2013 3rd International Conference on Electric Power and Energy Conversion Systems

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The relation between rotor speed of the Travelling wave ultrasonic motor (TWUSM) and current drawn by TWUSM is not linear for the TWUSM under different loads. In order to solve this nonlinearities and variation problems of TWUSM, PI controller, current controller, frequency controller and phase difference controller are proposed and implemented.The proposed system evaluates the steady-state performance of TWUSM drive system by using PI controller and current controller. Additionally, in the proposed TWUSM drive system, LC parasitic resonance impedance are added in order to obtain same peak voltage values under different loads by using frequency controller and phase difference controller.Experimental results of the proposed technique are analyzed and presented.

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Section: Introductionmentioning

confidence: 96%

A novel microcontroller based speed control method employing current controller for TWUSM

Gencer¹

2013

2013 3rd International Conference on Electric Power and Energy Conversion Systems

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“…Fuzzy control methods are studied over the years Figure 1. A photo of ultrasonic motor [9][10][11][12][13][14][15][16]. These methods try to use the nonlinear characteristic of fuzzy control to deal with the nonlinear problems of ultrasonic motor control.…”

Section: Introductionmentioning

confidence: 99%

Self-Tuning Fuzzy Speed Controller Of Travelling Wave Ultrasonic Motor

Jingzhuo

Zhao

Cao

et al. 2014

International Journal on Smart Sensing and Intelligent Systems

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Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy controller. Therefore, experience of expert is often used as the base of design. It makes the design of fuzzy controller become a sophisticated task. In this paper, the design method of fuzzy controller based on fuzzy model is described in detail . Rules of the fuzzy controller are optimized offline using ant colony optimization, and the appropriate parameters of fuzzy controller are also ascertained during the process of optimization. The designed controller is used to control the rotating speed of traveling wave ultrasonic motor with the type of USR60. According to the difference between the actual responses with different speed references, a kind of online tuning method is proposed to modulate the proportional coefficient of fuzzy control. Experiments indicate the validity of the proposed fuzzy controller.

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“…The fuzzy modeling method is rarely used in the field of motor. The fuzzy method is mostly used to realize rotating speed and position control [12][13][14]. Phase difference is used as the controlled variable in [15], and a kind of fuzzy Hammerstein model is worked out.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Takagi‐Sugeno Model for the Control of Ultrasonic Motor

Jingzhuo

2011

Journal of Control Science and Engineering

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Model of ultrasonic motor is the foundation of the design of ultrasonic motor's speed and position controller. A two-input and one-output dynamic Takagi-Sugeno model of ultrasonic motor driving system is worked out using fuzzy reasoning modeling method in this paper. Many fuzzy reasoning modeling methods are sensitive to the initial values and easy to fall into local minimum, and have a large amount of calculation. In order to overcome these defects, equalized universe method is used in this paper to get clusters centers and obtain fuzzy clustering membership functions, and then, the unknown parameters of the conclusions of fuzzy rules are identified using least-square method. Different experimental data that are tested with different operational conditions are used to examine the validity of the fuzzy model. Comparison between experimental data and calculated data of the model indicates that the model can well describe the nonlinear characteristics among the frequency, amplitude of driving voltage and rotating speed. The proposed fuzzy model can be used to analyze the performance of ultrasonic motor driving system, and also can be used to design the speed and position controller of ultrasonic motor.

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Neuro-fuzzy speed control of traveling-wave type ultrasonic motor drive using frequency and phase modulation

Cited by 23 publications

References 24 publications

A novel microcontroller based speed control method employing current controller for TWUSM

A novel microcontroller based speed control method employing current controller for TWUSM

Self-Tuning Fuzzy Speed Controller Of Travelling Wave Ultrasonic Motor

Dynamic Takagi‐Sugeno Model for the Control of Ultrasonic Motor

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