Direct Amplitude Control for Voice Coil Motor on High Frequency Reciprocating Rig

Wang, Ruotong; Yin, Xin; Wang, Qibing; Jiang, Lin

doi:10.1109/tmech.2020.2973938

Cited by 14 publications

(4 citation statements)

References 24 publications

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“…The external terrain disturbances create nonlinearities such as variable load, change in density and temperature of hydraulic oil. 18 Along with the above nonlinearities, the damper hysteresis and back-emf of the voice coil 15 negatively affect the position tracking accuracy of VCA. A poor position tracking will result in poor damping.…”

Section: Introductionmentioning

confidence: 99%

“…The selection of a voice coil as the actuator eliminates these drawbacks and provides the DDV system with high bandwidth performance, good repeatability, low latency, less hysteresis, and great precision. 14, 15 The actuation error from the nonlinear load should be identified and compensated through the feedback control of the valve system. 16 Considering the advantages, a voice coil actuator (VCA) is selected for valve control of the SEH damper in this study.…”

Section: Introductionmentioning

confidence: 99%

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Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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Control on the variable damping coefficients in the semi-active damper enhances ride comfort and vehicle stability. The semi-active electrohydraulic damper (SEH) presented in this study incorporates voice coil-based robust valve control to modify the damping coefficients. However, the position tracking accuracy of the voice coil actuator (VCA) gets negatively influenced by the nonlinearities such as load variations due to external disturbances, back emf, and dynamic damper characteristics. Therefore, to achieve excellent position control, a restart particle swarm optimisation with the Gompertz function (PSO-RG) is presented to obtain optimal tuning control gain for the proportional integral derivative controller. The PSO-RG algorithm applies Gompertz function-based particle coefficients and restarting technique. These techniques allow the PSO-RG to overcome the limitations of standard PSO, such as premature convergence and particle entrapment in local minima. The algorithm is tested in five selected benchmark functions for 10, 30 and 50 dimensions. The test data conveys that PSO-RG outperforms the standard PSO in mean, standard deviation, the best solution, and convergence speed. The transient response on identified and validated model of VCA demonstrated a 75.21% reduction in integral absolute error value than conventional PSO. The obtained maximum sensitivity and total variation values proved the robustness and smoothness of PSO-RG tuned PID control. Furthermore, the experimental analysis on the quarter car model shows that PSO-RG tuned PID precisely tracked the reference position with a 21.66% decrease in root mean square error to conventional PSO tuned PID. The CarSim co-simulation test results in the large van model indicate the need for precise VCA position control in enhancing ride comfort and improving the roll stability of the vehicle.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…Moreover, a coupling controller design was proposed by considering the interaction between a VCM and a piezoactuator of a head positioning control system [20]. In another study [24], a direct amplitude control strategy was developed to improve the amplitude accuracy of a reciprocating rig in a high-frequency band compared with that given by a traditional proportionalintegral control strategy.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, any change or disturbance in the payload will be directly reflected back to the VCM. Although many control methods have been proposed to control the single-axis VCM systems [17,18,[21][22][23][24], designing effective and robust control methods to meet highprecision requirements for the multi-axis VCM systems is still required. As a result, this study aims to develop a variable-order FFPID (VOFFPID) control strategy for controlling the mover position of a VCM-based dual-axis positioning stage with a high-precision contouring performance.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Contour Tracking of a Voice Coil Motors-Driven Dual-Axis Positioning Stage Using Fuzzy Fractional PID Control with Variable Orders

Chen

Yang²

2021

Mathematical Problems in Engineering

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This study aims to develop a variable-order fuzzy fractional proportional-integral-differential (VOFFPID) control system for controlling the mover position of a newly designed voice coil motors- (VCMs-) driven dual-axis positioning stage. First, the operation principle and dynamics of the stage are analyzed. After that, the design of a fuzzy fractional proportional-integral-differential (FFPID) control system is introduced on the basis of a fractional calculus and fuzzy logic system. With an additional degree of freedom to the control parameters and fuzzy operation, the FFPID control system can upgrade the contour tracking performance of a conventional proportional-integral-differential (PID) control system with respect to the specified dynamics of the stage. Moreover, the VOFFPID control system is designed to further improve the tracking responses of the FFPID control system. In this system, the five control parameters are optimized with the cuckoo search algorithm via an adaptive strategy. Lastly, nominal and payload conditions attributed to two nonlinear contour demands are provided to evaluate the contouring performance of the PID, FFPID, and VOFFPID control systems. The experimental results subjected to different performance measures demonstrate that the proposed VOFFPID controller outperforms PID and FFPID controllers in terms of the designed VCMs-driven dual-axis positioning stage under both conditions.

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Dynamic rate-dependent hysteresis modeling and trajectory prediction of voice coil motors based on TF-NARX neural network

Rui-chao

et al. 2023

Microsyst Technol

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Direct Amplitude Control for Voice Coil Motor on High Frequency Reciprocating Rig

Cited by 14 publications

References 24 publications

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Nonlinear Contour Tracking of a Voice Coil Motors-Driven Dual-Axis Positioning Stage Using Fuzzy Fractional PID Control with Variable Orders

Dynamic rate-dependent hysteresis modeling and trajectory prediction of voice coil motors based on TF-NARX neural network

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