A study on tracking position control of pneumatic actuators using neural network

Choi, Gi Sang; Lee, Han Koo; Choi, Gi Heung

doi:10.1109/iecon.1998.722946

Cited by 8 publications

(1 citation statement)

References 3 publications

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“…Researchers are exploring various control algorithms, such as Fuzzy logic controller [12]- [17],Sliding mode control [18]- [20] and Neural Network. In [21]- [23], to achieve precise positioning control. However, implementing these advanced control techniques can be challenging, as it requires a deep understanding of the theoretical foundations and may have certain disadvantages.…”

Section: Introductionmentioning

confidence: 99%

Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay

Hashim

Ahmad

Ghani

et al. 2023

IJRCS

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Sitting in traffic congestion for hours in a posture that requires recurrent actions of manually pressing the pedal and braking excessively can result in fatigue, especially on the driver's leg and back. This fatigue can have long-term implications and adversely affect the driver's health. Thus, this paper aims to model and develop a control system that utilizes a linear actuator to replace the leg activities involved in pressing and releasing the brake pedal. This approach, combined with the implementation of a PID controller, offers a novel solution to control the vehicle speed by integration with the linear actuator that focus on low-speed driving condition. The design process begins with creating a 3D model using SolidWorks to visualize the movement of the linear actuator and Pedal subsystem. This model is then connected to Matlab-Simulink, where a PID controller is implemented and integrated into the electrical circuit to control the actuator's movement. Integration with the vehicle dynamic model enables a comprehensive analysis of the system's behavior on the vehicle dynamics. This research compares the trial and error method with the Matlab tuner for implementing the PID controller. The performance of the system will be evaluated based on the steady state error, overshoot, rise time, and settling time. The results demonstrate that the Matlab tuner outperforms trial and error method by achieving a faster response and significantly reducing steady state error during robustness testing. With the integration of the linear actuator, the system is capable of tracking the desired speed and has the potential to replace the leg activities involved in pressing and releasing the brake pedal. For future work, validating the proposed mechanism with a physical prototype of the linear actuator and pedal using hardware-in-the-loop techniques poses a challenge, as hardware constraints may vary with different environments.

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Section: Introductionmentioning

confidence: 99%

Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay

Hashim

Ahmad

Ghani

et al. 2023

IJRCS

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Nonlinear observer for pneumatic system with non-negligible connection port restriction

Bigras

Khayati

2002

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301)

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Modified feedback linearization controller for pneumatic system with non negligible connection port restriction

Bigras

Khayati²,

Wong³

IEEE International Conference on Systems, Man and Cybernetics

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Absmucf-This paper presents an approach to design a nonlinear controller for a pneumatic cylinder system for which the connection port comprises a non-negligible restriction. The pressure chamber of this system is difficult to control because the servo valve and the connection port form a double restriction. This double restriction causes a singularity in the feedback linearization Controller. To avoid this singularity, a m o w e d feedback linearization controller is proposed. The Linear Matrix Inequality @MI) approach is then used to calculate the controller gains which ensure the stability of the tracking error and the non-singularity of the control law. Simulation results show good performance of the proposed controller.

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A study on tracking position control of pneumatic actuators using neural network

Cited by 8 publications

References 3 publications

Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay

Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay

Nonlinear observer for pneumatic system with non-negligible connection port restriction

Modified feedback linearization controller for pneumatic system with non negligible connection port restriction

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