Lyapunov-based constrained engine torque control using electronic throttle and variable cam timing

2012 ◽  
Author(s):  
E. Feru ◽  
M. Lazar ◽  
R. H. Gielen ◽  
I. V. Kolmanovsky ◽  
S. Di Cairano
Keyword(s):  
Torque Control ◽  
Electronic Throttle ◽  
Engine Torque ◽  
Variable Cam Timing

Research on Dynamic Torque Control Strategy for Parallel Hybrid Electric Vehicle

2011 ◽  
Vol 228-229 ◽  
pp. 951-956 ◽  
Author(s):  
Yun Bing Yan ◽  
Fu Wu Yan ◽  
Chang Qing Du
Keyword(s):  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Control Algorithm ◽  
Dynamic Control ◽  
Torque Control ◽  
Engine Torque ◽  
Parallel Hybrid Electric Vehicle ◽  
Torque Control Strategy ◽  
Parallel Hybrid ◽  
Hybrid Electric

It is necessary for Parallel Hybrid Electric Vehicle (PHEV) to distribute energy between engine and motor and to control state-switch during work. Aimed at keeping the total torque unchanging under state-switch, the dynamic torque control algorithm is put forward, which can be expressed as motor torque compensation for engine after torque pre-distribution, engine speed regulation and dynamic engine torque estimation. Taking Matlab as the platform, the vehicle control simulation model is built, based on which the fundamental control algorithm is verified by simulation testing. The results demonstrate that the dynamic control algorithm can effectively dampen torque fluctuations and ensures power transfer smoothly under various state-switches.

Air Hybrid Engine Torque Control Using Adaptive Sliding Mode Control

2010 ◽  
Author(s):  
Amir Fazeli ◽  
Meysar Zeinali ◽  
Amir Khajepour ◽  
Mohammad Pournazeri
Keyword(s):  
Sliding Mode ◽  
Tracking Error ◽  
Mean Value ◽  
Torque Control ◽  
Disturbance Attenuation ◽  
Adaptive Sliding Mode Control ◽  
Engine Torque ◽  
Adaptive Sliding Mode ◽  
Adaptive Sliding Mode Controller ◽  
Chattering Effect

In this work, a new air hybrid engine configuration is introduced in which two throttles are used to manage the engine load in three modes of operation i.e. braking, air motor, and conventional mode. A Mean Value Model (MVM) of the engine is developed at braking mode and a new Adaptive Sliding Mode Controller (ASMC), recently proposed in the literature, is applied to control the engine torque at this mode. The results show that the controller performs remarkably well in terms of the robustness, tracking error convergence and disturbance attenuation. Chattering effect is also removed by utilizing the ASMC scheme.

A Study of Engine Torque Control by Variable Valve Actuation

2005 ◽  
Author(s):  
Yutaro Minami ◽  
Hiroshi Iwamo ◽  
Hiraku Ooba ◽  
Naonori Onoda
Keyword(s):  
Torque Control ◽  
Engine Torque ◽  
Variable Valve Actuation ◽  
Variable Valve ◽  
Valve Actuation

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.

Engine Torque Control Based on Discrete Event Model and Disturbance Observer

2007 ◽  
Author(s):  
Takashi Nagata ◽  
Masayoshi Tomizuka
Keyword(s):  
Robust Stability ◽  
Disturbance Observer ◽  
Control Method ◽  
Discrete Event ◽  
Torque Control ◽  
Engine Torque ◽  
Engine Model ◽  
Plant Behavior ◽  
Torque Generation ◽  
And Performance

This paper presents a novel control method for torque generation in four-stroke spark ignition (SI) engines. A model-based approach is employed to control engine torque output by adjusting throttle air intake with considerations of robust stability and performance. Discrete event engine model (DEM) is adopted with an addition of torque generation dynamics. Disturbance observer (DOB) techniques are utilized to achieve robust stability and performance by regarding the discrepancy between the actual plant and the nominal plant with desired plant characteristics as an equivalent disturbance input, which is estimated and cancelled. The desired plant behavior is stably realized by the DOB up to a bandwidth which is sufficient for a torque control application discussed in authors’ previous work. A switching scheme for desired nominal plant is proposed to further enhance robust performance and stability. Numerical results show the effectiveness of the proposed schem.

Preliminary Investigation of Dilution Strategies to Control Engine Torque During Transient Events

2001 ◽  
Author(s):  
R. D. Maugham ◽  
N. D. Vaughan ◽  
C. J. Brace ◽  
S. W. Murray
Keyword(s):  
Gasoline Engine ◽  
Fuel Efficiency ◽  
Preliminary Investigation ◽  
Torque Control ◽  
Test Program ◽  
Lean Burn ◽  
Engine Torque ◽  
Variable Transmission ◽  
Transient Events ◽  
Initial Results

Abstract A continuously variable transmission (CVT) allows a powertrain controller the freedom to develop a required output power at a range of engine torque and speed conditions. This flexibility can be used to maximise fuel efficiency. Due to low frictional and pumping losses a gasoline engine’s fuel efficiency is maximised at low speed, high torque conditions. However due to the reduced torque margin available, controlling a gasoline engine in this region compromises transient vehicle response. Dilution torque control, using EGR or lean burn, has the potential to maintain the economy gains available using a CVT powertrain whilst improving a vehicle’s driveability. This paper introduces preliminary work that has been undertaken to investigate the potential of charge dilution to control steady state engine torque. A test rig has been developed based around an engine fitted with variable cam phasing and an external EGR system. The paper contains a discussion of initial results of a lean dilution test program used to demonstrate the principle.

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.

scholarly journals Engine Torque Control of Spark Ignition Engine Using Robust Fuzzy Logic Control

2011 ◽  
Vol 3 (4) ◽  
pp. 352-358 ◽  
Author(s):  
Aris Triwiyatno ◽  
Mohammad Nuh ◽  
Ari Santoso ◽  
I Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Spark Ignition ◽  
Spark Ignition Engine ◽  
Torque Control ◽  
Engine Torque ◽  
Logic Control
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