An Experimental Evaluation of Torque Sensor Based Feedback Control of Combustion Phasing in an SI-engine

2005 ◽  
Author(s):  
Stefan Larsson ◽  
Ingemar Andersson
Keyword(s):  
Feedback Control ◽  
Experimental Evaluation ◽  
Torque Sensor ◽  
Si Engine

Optimal A/F Ratio Estimation Model (Synthetic UEGO) for SI Engine Cold Transient AFR Feedback Control

1998 ◽  
Author(s):  
Xiaoguo Tang ◽  
Joseph R. Asik ◽  
Garth M. Meyer ◽  
Rogelio G. Samson
Keyword(s):  
Feedback Control ◽  
Ratio Estimation ◽  
Estimation Model ◽  
Si Engine

Direct Torque Feedback for Accurate Engine Torque Delivery and Improved Powertrain Performance

2015 ◽  
Author(s):  
Anwar Alkeilani ◽  
Le Yi Wang ◽  
Hao Ying
Keyword(s):  
Feedback Control ◽  
Fuel Economy ◽  
Torque Control ◽  
Estimation Accuracy ◽  
Torque Sensor ◽  
Cruise Control ◽  
Sensor Reading ◽  
Engine Torque ◽  
Torque Estimation ◽  
Gain Margin

At the present time, both control and estimation accuracies of engine torque are causes for under-achieving optimal drivability and performance in today’s production vehicles. The major focus in this area has been to enhance torque estimation and control accuracies using existing open-loop torque control and estimation structures. Such an approach does not guarantee optimum torque tracking accuracy and optimum estimation accuracy due to air flow and efficiencies estimations errors. Furthermore, current approach overlooks the fast torque path tracking which does not have any related feedback. Recently, explicit torque feedback control has been proposed in the literature using either estimated or measured torques as feedback to control the torque using the slow torque path only. We propose the usage of a surface acoustic wave (SAW) torque sensor to measure the engine brake torque and feedback the signal to control the torque using both the fast and slow torque paths utilizing an inner-outer loop control structure. The fast torque path feedback is coordinated with the slow torque path by a novel method using the potential torque that is adapted to the sensor reading. The torque sensor signal enables a fast and explicit torque feedback control that can correct torque estimation errors and improve drivability, emission control, and fuel economy. Control-oriented engine models for the 3.6L engine are developed. Computer simulations are performed to investigate the advantages and limitations of the proposed control strategy, versus the existing strategies. The findings include an improvement of 14% in gain margin and 60% in phase margin when the torque feedback is applied to the cruise control torque request at the simulated operating point. This study demonstrates that the direct torque feedback is a powerful technology with promising results for improved powertrain performance and fuel economy.

Direct Torque Feedback for Accurate Engine Torque Delivery and Improved Powertrain Performance

2016 ◽  
Vol 138 (11) ◽  
Author(s):  
Anwar Alkeilani ◽  
Le Yi Wang ◽  
Hao Ying
Keyword(s):  
Feedback Control ◽  
Fuel Economy ◽  
Torque Control ◽  
Torque Sensor ◽  
Cruise Control ◽  
Estimation Errors ◽  
Sensor Reading ◽  
Engine Torque ◽  
Torque Estimation ◽  
Gain Margin

At the present time, both control and estimation accuracies of engine torque are causes for underachieving optimal drivability and performance in today's production vehicles. The major focus in this area has been to enhance torque estimation and control accuracies using existing open loop torque control and estimation structures. Such an approach does not guarantee optimum torque tracking accuracy and optimum estimation accuracy due to air flow and efficiency estimation errors. Furthermore, current approach overlooks the fast torque path tracking which does not have any related feedback. Recently, explicit torque feedback control has been proposed in the literature using either estimated or measured torques as feedback to control the torque using the slow torque path only. We propose the usage of a surface acoustic wave (SAW) torque sensor to measure the engine brake torque and feedback the signal to control the torque using both the fast and slow torque paths utilizing an inner–outer loop control structure. The fast torque path feedback is coordinated with the slow torque path by a novel method using the potential torque that is adapted to the sensor reading. The torque sensor signal enables a fast and explicit torque feedback control that can correct torque estimation errors and improve drivability, emission control, and fuel economy. Control oriented engine models for the 3.6L engine are developed. Computer simulations are performed to investigate the advantages and limitations of the proposed control strategy versus the existing strategies. The findings include an improvement of 14% in gain margin and 60% in phase margin when the torque feedback is applied to the cruise control torque request at the simulated operating point. This study demonstrates that the direct torque feedback is a powerful technology with promising results for improved powertrain performance and fuel economy.

Proposal of Application of Magnetostrictive Torque Sensor in EV—Seamless 2-Speed Shifting with Torque Feedback Control

2021 ◽  
pp. 509-522
Author(s):  
Seigo Urakami ◽  
Kota Fukuda ◽  
Junji Ono ◽  
Tomoyuki Miyazaki ◽  
Shinji Okada
Keyword(s):  
Feedback Control ◽  
Torque Sensor

Optimal Dynamic Quantizers for Feedback Control With Discrete-Level Actuators: Unified Solution and Experimental Evaluation

2011 ◽  
Vol 133 (2) ◽  
Author(s):  
Shun-ichi Azuma ◽  
Yuki Minami ◽  
Toshiharu Sugie
Keyword(s):  
Feedback Control ◽  
Closed Form ◽  
Experimental Evaluation ◽  
Current Data ◽  
General Linear ◽  
Positioning System ◽  
Discrete Level ◽  
The Past ◽  
Optimal Dynamic ◽  
Dynamic Quantizer

This paper proposes to use optimal dynamic quantizers for feedback control in mechatronics systems when the actuator signals are constrained to discrete-valued signals. Here, the dynamic quantizer is a device that transforms the continuous-valued signals into the discrete-valued ones depending on the past signal data, as well as the current data. First, a closed form optimal quantizer is presented in a general linear fraction transformation representation setting. The optimal quantizer minimizes the deviation of the output produced by the quantized signals from the corresponding output yielded by the continuous-valued signals before quantization. Then, its experimental evaluation is performed by using a crane positioning system with a discrete-valued input to demonstrate the effectiveness of the proposed quantizers.

Self-optimising control of an SI-engine using a torque sensor

2008 ◽  
Vol 16 (5) ◽  
pp. 505-514 ◽  
Author(s):  
Stefan Larsson ◽  
Ingemar Andersson
Keyword(s):  
Torque Sensor ◽  
Si Engine
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