Analytical Design of PID Controllers [Bookshelf]

Keel, L.H.

doi:10.1109/mcs.2020.3032803

Cited by 6 publications

(1 citation statement)

References 9 publications

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“…[38],due to their simple structure, easy implementation and maintenance. They are also prevalent in modern applications, like self-driving cars, Unmanned aircraft vehicle, and autonomous robots, for the same purpose [39] e. In most of the control system applications 90-95 % of control loops are of PID form.…”

Section: Pid Controller Design and Tuning Methodsmentioning

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: Pid Controller Design and Tuning Methodsmentioning

confidence: 99%