A novel Electro-Booster Brake System based on Fuzzy PID Control

Zhang, Lin; Li, Tuwang; Wei, Yiying; Ji, Baoliang; Zhou, Yongping; Bai, Fan

doi:10.23919/icems52562.2021.9634488

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Using this PID control intends to reduce the level of errors that occur in a system to cause the desired set point value to be achieved. The PID control parameters are based on an overview of a system, thus however the complexity of a system must be known before looking for parameters PID control [12]- [15], [17], [19], [22]- [29], [34]- [70]. The following Fig.…”

Section: B Metode Proportional Integral Derivativementioning

confidence: 99%

Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)

Budiarto,

Triwidyaningrum,

Umam

et al. 2023

Journal of Robotics and Control

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The vital role of an automated braking system in ensuring the safety of motorized vehicles and their passengers cannot be overstated. It simplifies the braking process during driving, enhancing control and reducing the chances of accidents. This study is centered on the design of an automatic braking device for DC motors utilizing disc brakes. The instrument employed in this study was designed to accelerate the vehicle in two primary scenarios - before the collision with an obstacle and upon crossing the safety threshold. It achieves this by implementing the Proportional Integral Derivative (PID) control method. A significant part of this system comprises ultrasonic sensors, used for detecting the distance to obstructions, and rotary encoder sensors, which are utilized to measure the motor's rotational speed. These distance and speed readings serve as essential reference points for the braking process. The system is engineered to initiate braking when the distance value equals or falls below 60cm or when the speed surpasses 8000rpm. During such events, the disc brake is activated to reduce the motor's rotary motion. The suppression of the disc brake lever is executed pneumatically, informed by the sensor readings. Applying the PID method to the automatic braking system improved braking outcomes compared to a system without the PID method. This was proven by more effective braking results when the sensors detected specific distance and speed values. Numerous PID tuning tests achieved optimal results with K_p = 5, K_i = 1, and K_d = 3. These values can be integrated into automatic braking systems for improved performance. The PID method yielded more responsive braking outcomes when applied in distance testing. On the contrary, the braking results were largely unchanged in the absence of PID. Regarding speed testing, the PID method significantly improved the slowing down of the motor speed when it exceeded the maximum speed limit of 8000 rpm. This eliminates the possibility of sudden braking, thus maintaining the system within a safe threshold. The average time taken by the system to apply braking was 01.09 seconds, an indication of its quick responsiveness. This research is a valuable addition to control science, applying the PID control method to automatic DC motor braking. It provides valuable insights and concrete applications of PID control to complex mechatronic systems. It is also noteworthy for its development and optimization of suitable PID parameters to achieve responsive and stable braking. The study, therefore, offers a profound understanding of how PID control can be employed to manage braking systems on automatic DC motors, thereby advancing knowledge and application of control in control science and mechatronics.

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Section: B Metode Proportional Integral Derivativementioning

confidence: 99%

Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)

Budiarto,

Triwidyaningrum,

Umam

et al. 2023

Journal of Robotics and Control

View full text Add to dashboard Cite

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Research on robustness of intelligent vehicle longitudinal active collision avoidance system based on equivalent external interference

Yuan,

Xiao,

Shen

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part D:

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The rate of fatal traffic accidents caused by sudden risks such as pedestrians crossing the road in violation of regulations and goods falling in front of the vehicles has remained high under the complex dynamic environment. The appearance of sudden obstacles/pedestrians will indirectly trigger sudden changes in sensor signals and control signals, and cause the drivers’ improper driving behaviors. At the same time, the parameter perturbation of the vehicle itself and the sensor noise and other direct disturbances will also put forward high requirements for the robust performance of the vehicle braking system controller. Traditional control methods are difficult to ensure the robust stability required by the vehicle braking system in the actual driving process under sudden emergency conditions. In order to improve the braking control performance and robust performance of the active collision avoidance system under sudden emergency conditions under the influence of its own parameter perturbation, sensor perturbation and other perturbations, this manuscript analyzes the accident risk characteristics of sudden emergency conditions, and establishes an equivalent virtual external force interference model [Formula: see text]. Considering the virtual external force interference model, self-driving parameter perturbation and sensor perturbation, we adopt the [Formula: see text] control theory-design brake controller. Under different perturbation conditions the [Formula: see text] controller, PID controller, and [Formula: see text] controller are simulated and compared. The results show that the [Formula: see text] controller can effectively suppress sudden emergency conditions under parameter uncertainty and external sensor noise interference compared with the PID controller and the [Formula: see text] controller, realizing emergency braking and collision avoidance, and having better closed-loop robustness.

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A novel Electro-Booster Brake System based on Fuzzy PID Control

Cited by 2 publications

References 15 publications

Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)

Implementation of Automatic DC Motor Braking PID Control System on (Disc Brakes)

Research on robustness of intelligent vehicle longitudinal active collision avoidance system based on equivalent external interference

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