Microcontroller based control of disc brake actuation pressure
Abstract
Monitoring, modeling, prediction, and control of the braking process is a difficult task due to a complex interaction between the brake contact surfaces (disc pads and brake disc). It is caused by different influences of braking regimes and brake operation conditions on its performance. Faster and better control of the braking process is extremely important in order to provide harmonization of the generated braking torque with the tire-road adhesion conditions. It has significant influence on the stopping distance. The control of the braking process should be based on monitoring of the previous and current values of parameters that have influence on the brake performance. Primarily, it is related to the disc brake actuation pressure, the vehicle speed, and the brake interface temperature. The functional relationship between braking regimes and braking torque has to be established and continuously adapted according to the change of mentioned influencing factors. In this paper dynamic ne...ural networks have been used for the purpose of modeling and control of the disc brake actuation pressure. Parameters of the developed dynamic neural model were used to build a program for implementation in a microcontroller. Recurrent neural networks have been implemented in 8-bit CMOS microcontroller for control of the disc brake actuation pressure. Two different models have been developed and integrated into the microcontroller. The first model was used for modeling and prediction of the braking torque. Based on that, the second inverse neural model, has been developed able to predict the brake actuation pressure needed for achieving previously selected (desired) braking torque value.
Source:
SAE Technical Papers, 2013, 8Publisher:
- SAE International
Funding / projects:
- Development, design and implementation of modern strategies of integrated management of operations and vehicle and mechanization maintenance in auto transport, mining and energy (RS-MESTD-Technological Development (TD or TR)-35030)
- Scientific-technological support to enhancing the safety of special road and rail vehicles (RS-MESTD-Technological Development (TD or TR)-35045)
Collections
Institution/Community
Mašinski fakultetTY - CONF AU - Aleksendrić, Dragan AU - Ćirović, Velimir AU - Jakovljević, Živana PY - 2013 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1751 AB - Monitoring, modeling, prediction, and control of the braking process is a difficult task due to a complex interaction between the brake contact surfaces (disc pads and brake disc). It is caused by different influences of braking regimes and brake operation conditions on its performance. Faster and better control of the braking process is extremely important in order to provide harmonization of the generated braking torque with the tire-road adhesion conditions. It has significant influence on the stopping distance. The control of the braking process should be based on monitoring of the previous and current values of parameters that have influence on the brake performance. Primarily, it is related to the disc brake actuation pressure, the vehicle speed, and the brake interface temperature. The functional relationship between braking regimes and braking torque has to be established and continuously adapted according to the change of mentioned influencing factors. In this paper dynamic neural networks have been used for the purpose of modeling and control of the disc brake actuation pressure. Parameters of the developed dynamic neural model were used to build a program for implementation in a microcontroller. Recurrent neural networks have been implemented in 8-bit CMOS microcontroller for control of the disc brake actuation pressure. Two different models have been developed and integrated into the microcontroller. The first model was used for modeling and prediction of the braking torque. Based on that, the second inverse neural model, has been developed able to predict the brake actuation pressure needed for achieving previously selected (desired) braking torque value. PB - SAE International C3 - SAE Technical Papers T1 - Microcontroller based control of disc brake actuation pressure VL - 8 DO - 10.4271/2013-01-2055 ER -
@conference{ author = "Aleksendrić, Dragan and Ćirović, Velimir and Jakovljević, Živana", year = "2013", abstract = "Monitoring, modeling, prediction, and control of the braking process is a difficult task due to a complex interaction between the brake contact surfaces (disc pads and brake disc). It is caused by different influences of braking regimes and brake operation conditions on its performance. Faster and better control of the braking process is extremely important in order to provide harmonization of the generated braking torque with the tire-road adhesion conditions. It has significant influence on the stopping distance. The control of the braking process should be based on monitoring of the previous and current values of parameters that have influence on the brake performance. Primarily, it is related to the disc brake actuation pressure, the vehicle speed, and the brake interface temperature. The functional relationship between braking regimes and braking torque has to be established and continuously adapted according to the change of mentioned influencing factors. In this paper dynamic neural networks have been used for the purpose of modeling and control of the disc brake actuation pressure. Parameters of the developed dynamic neural model were used to build a program for implementation in a microcontroller. Recurrent neural networks have been implemented in 8-bit CMOS microcontroller for control of the disc brake actuation pressure. Two different models have been developed and integrated into the microcontroller. The first model was used for modeling and prediction of the braking torque. Based on that, the second inverse neural model, has been developed able to predict the brake actuation pressure needed for achieving previously selected (desired) braking torque value.", publisher = "SAE International", journal = "SAE Technical Papers", title = "Microcontroller based control of disc brake actuation pressure", volume = "8", doi = "10.4271/2013-01-2055" }
Aleksendrić, D., Ćirović, V.,& Jakovljević, Ž.. (2013). Microcontroller based control of disc brake actuation pressure. in SAE Technical Papers SAE International., 8. https://doi.org/10.4271/2013-01-2055
Aleksendrić D, Ćirović V, Jakovljević Ž. Microcontroller based control of disc brake actuation pressure. in SAE Technical Papers. 2013;8. doi:10.4271/2013-01-2055 .
Aleksendrić, Dragan, Ćirović, Velimir, Jakovljević, Živana, "Microcontroller based control of disc brake actuation pressure" in SAE Technical Papers, 8 (2013), https://doi.org/10.4271/2013-01-2055 . .