Torque Accuracy Improvement Via Explicit Torque Feedback Control For Internal Combustion Spark Ignition Engines

<p>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. I propose the usage of a surface acoustic wave torque sensor and in-cylinder pressure sensor to measure the engine brake and indicated torques respectively and feedback the signals to control the torques 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 and is adapted to the sensors readings. The torque signals enable 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 open loop control 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.</p>

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Open Access Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Year dc:date.available

2016

Author dc:creator

• Alkeilani, Anwar

Contributors dc:contributor

• Hao Ying
• Le Y. Wang

• Feedback Control
• SI Engine Modeling
• Simulation
• Torque Control
• Electrical and Computer Engineering
• Mechanical Engineering

Repository record dc:identifier

https://digitalcommons.wayne.edu/oa_dissertations/1418

OAI identifier oai:identifier

oai:digitalcommons.wayne.edu:oa_dissertations-2417