Adaptive Fuzzy Logic Proportional-Integral-Derivative Control for a Miniature Autofocus Voice Coil Motor Actuator With Retaining Force

Yu, Hsing–Cheng; Chen, Tsan Chen; Liu, Chien-Sheng

doi:10.1109/tmag.2014.2323423

Cited by 30 publications

(21 citation statements)

References 9 publications

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“…The corresponding linguistic variable fuzzy set consists of negative large, negative middle, negative small, zero, positive small, positive middle, and positive big. The parameter setting rules can be summarized as follows [14], (1)if e is big, in order to achieve a fast dynamic response, values of K pp and K pd should be set relatively bigger and smaller, respectively.…”

Section: Dual Loop Control Schemementioning

confidence: 99%

High-Precision Dual-Loop Position Control of an Asymmetric Bilateral Linear Hybrid Switched Reluctance Motor

et al. 2015

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In this paper, to enhance the machine performance and realize a high precision position control performance, a dual loop position controller is employed for the asymmetric bilateral linear hybrid switched reluctance motor (ABLHSRM). Machine characteristics are investigated by finite element method (FEM). The dual loop controller is constructed by employing a tradition proportion integral differential (PID) velocity controller as the inner loop and a fuzzy proportion differential PD controller for the outer loop. Experimental results demonstrate that both the position and velocity control performance under the dual loop control algorithm is superior over the single loop PD position control strategy. An absolute steady state error of 4 µm can be achieved under the dual loop control strategy. Performance comparison from the ABLHSRM and its asymmetric bilateral linear switched reluctance counterpart with the same dimensions are carried out. Position tracking results show that the rise time is improved for the proposed ABLHSRM under the proposed control scheme.

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Section: Dual Loop Control Schemementioning

confidence: 99%

High-Precision Dual-Loop Position Control of an Asymmetric Bilateral Linear Hybrid Switched Reluctance Motor

et al. 2015

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“…The latest voice coil motor control strategy is generally a combination of modern control and PID: [3] proposed a motor based on adaptive fuzzy PID control program, the method largely eliminates the inaccurate modeling and load changes caused by Disturbance. In [4], a nonlinear PID strategy is proposed.…”

Section: Introductionmentioning

confidence: 99%

Research on Photoelectric Tracking System Based on Rotating Voice Coil Motor

Huang¹,

Chen²,

Tang³

2017

Proceedings of the 2017 Global Conference on Mechanics and Civil Engineering (GCMCE 2017)

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Abstract. Photoelectric tracking system is widely used in space exploration, manipulation, laser communication and other fields. The implementation of ATP system is the key to achieve tracking.The use of double-closed loop control can give the system a higher stiffness, improve the system's anti-interference ability.The structure of the system is analyzed and the torque analysis of the rotating voice coil motor is carried out. Through the identification of the system function, the system is designed for the closed loop transfer function.The sine tracking experiment followed by a position error of <1.5 ', and a double-axis maneuvering experiment with a closed loop of CCD was performed with an average tracking error of <2 pixels.The results show that the ATP coarse tracking mechanism driven by the rotating voice coil motor can achieve high tracking accuracy under the control structure of single sensor with double-closed loop.And the rotating voice coil motor with high structure density, but also a single sensor makes the system smaller.

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“…Because of the characteristics of small size and high-response speed, VCM has been widely used in high-frequency response DDV drives or auto-focus modules of digital cameras [3]. Recently, several control methods for VCMs have been proposed [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…Since the control gains of PI control are fixed, the control performance is influenced by the system uncertainties, friction, and load changes of movable parts. Yu et al proposed an adaptive fuzzy logic PID control to achieve a short response time with fuzzy tuning the control gains [4]. The fuzzy rules should be pre-constructed to achieve the design performance by trial-and-error; however, this trial-and-error tuning procedure is time-consuming.…”

Section: Introductionmentioning

confidence: 99%