Self-tuning speed control of ultrasonic motor combined with efficiency optimization

Jingzhuo, Shi; Fangfang, Lv; Liu, Bo

doi:10.1007/s12555-012-0271-2

Cited by 11 publications

(9 citation statements)

References 16 publications

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“…Because, data-based representations give dynamic relations between measured output and input signals, these representations are a reasonable solution for most monitoring, diagnosis and control applications. 30–33…”

Section: The Proposed Self-tuning Regulator Control Technique For Liqmentioning

confidence: 99%

“…This is an online recursive identification method and it has been applied while system is in operation. Most industrial processes are approximated by the transfer function in equation (39) 30…”

Section: The Proposed Self-tuning Regulator Control Technique For Liqmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The main idea of the self-tuning control can be defined as the combination of the online recursive system recognition and a chosen controller method which updates their parameters based on recognition. [26][27][28][29][30][31][32][33] In this context, motivated by the advantages of the self-tuning control technique, a self-tuning regulator controller has been proposed and performed on a coupled tank system as different from the previous studies. An ARX model has been used in the control algorithm for describing the dynamic behaviour of the coupled tank system.…”

Section: Introductionmentioning

confidence: 99%

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Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

Ayten

Dumlu

Kaleli

2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article presents the self-tuning regulator control technique for a coupled tank liquid level system that often used in industry. An autoregressive with exogenous model has been used as the liquid process model with the self-tuning control implementation in order to track the desired tank level trajectories with disturbances and uncertainties of the system dynamics. The designed self-tuning controller has been sensitive to parameter variations of the nonlinear coupled tank system. The parameters of the proposed controller are periodically updated themselves during the process by means of online recursive least square method with the forgetting factor algorithm. In this way, the parameter variations and unwanted disturbances of the system are eliminated in real-time application. In order to demonstrate the efficiency of the self-tuning regulator control technique, the real-time studies have been executed. The obtained experimental results demonstrated that the proposed controller gives the better trajectory tracking performance and smaller magnitude in overshot and undershot than the designed classical proportional–integral and sliding mode controllers.

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Section: The Proposed Self-tuning Regulator Control Technique For Liqmentioning

confidence: 99%

Section: The Proposed Self-tuning Regulator Control Technique For Liqmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

Ayten

Dumlu

Kaleli

2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…Meanwhile, the NN was learned by updating its weights online using PSO algorithm [9][10][11], [12] and [13] turned to the pole-assignment strategy for proper PID parameters selecting of a system identified from step response and the expected closed-loop characteristic. Hammerstein model was also identified using PSO for its advantages over simple difference equations in depicting the characteristics of nonlinear systems [14]. Then, the self-tuning nonlinear generalized predictive speed control strategy of an ultrasonic motor was realized based on this Hammerstein model [15].…”

Section: Introductionmentioning

confidence: 99%

Model-free adaptive speed control on travelling wave ultrasonic motor

2018

Journal of Electrical Engineering

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This paper introduced a new data-driven control (DDC) method for the speed control of ultrasonic motor (USM). The model-free adaptive control (MFAC) strategy was presented in terms of its principles, algorithms, and parameter selection. To verify the efficiency of the proposed method, a speed-frequency-time model, which contained all the measurable nonlinearity and uncertainties based on experimental data was established for simulation to mimic the USM operation system. Furthermore, the model was identified using particle swarm optimization (PSO) method. Then, the control of the simulated system using MFAC was evaluated under different expectations in terms of overshoot, rise time and steady-state error. Finally, the MFAC results were compared with that of proportion iteration differentiation (PID) to demonstrate its advantages in controlling general random system.

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Quality improvement of shunt active power filter with direct instantaneous power estimator based on Virtual Flux

Saidi¹,

Abbassi²,

Chebbi³

2016

Int. J. Control Autom. Syst.

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Self-tuning speed control of ultrasonic motor combined with efficiency optimization

Cited by 11 publications

References 16 publications

Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

Model-free adaptive speed control on travelling wave ultrasonic motor

Quality improvement of shunt active power filter with direct instantaneous power estimator based on Virtual Flux

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