A Simple Engine Model for Idle Speed Control

Takahashi, Tohru; Ueno, Takashi; Yamamoto, Akito; Sanbuichi, Hiroshi

doi:10.4271/850291

Cited by 20 publications

(8 citation statements)

References 13 publications

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“…There have been some reports on modeling the engine's dynamics in the state space form [7]- [9], but most are based on complex modeling. In our case, mathematical models are constructed by focusing on the interrelation among throttle valve, engine revolutions, and torque.…”

Section: Modelingmentioning

confidence: 99%

Design of optimal servo-systems for engine test bed by ILQ method

Kawarabayash

Fujii²

1990

29th IEEE Conference on Decision and Control

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In this paper a simple mathematical model of an enginedynamometer system is presented in terms of a linear state-space model. This model is then used to design a multivariable engine control system for achieving desired engine states. This control system is developed here in the class of optimal servo-systems, by applying a new type of LQ design theory called "Inverse Linear Quadratic (LQ) design theory".

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Section: Modelingmentioning

confidence: 99%

Design of optimal servo-systems for engine test bed by ILQ method

Kawarabayash

Fujii²

1990

29th IEEE Conference on Decision and Control

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“…Takahashi et al [2] proposed a linear quadratic optimal control using a two-state linear engine model, which is identified using the least square method with IAC valve opening and engine speed as the input and output respectively. The performance index consists of speed deviation and IAC valve opening.…”

Section: Introductionmentioning

confidence: 99%

Improving the stability and fuel economy for Belt-Starter Generator Mild HEV at idle speed using model predict control

Hsieh

Huang

Peng

2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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A multi-input single-output (MISO) controller using model predictive control is proposed for improving stability and fuel economy at idle speed for the Belt-Starter Generator (BSG) Mild Hybrid.Unlike the conventional algorithm which uses the electronic throttle control (ETC) and spark advance as actuators, ETC and torque of BSG are simultaneously employed as control inputs for maximum authority to maintain idle speed at desired value. The recursive least square technique is employed to identify the engine as a first-order MISO linear model. A nonlinear engine model established in Matlab/Simulink is used to evaluate the proposed and conventional algorithms. The proposed algorithm is also implemented on a V2 engine. Simulation results show that the proposed algorithm has less speed deviation than the conventional one under the presence of torque disturbances and model uncertainties. Since the spark timing can be kept at optimal condition, the fuel consumption of proposed algorithm is smaller than that of the conventional one.978-1-4799-5283-0/14/$31.00 ©2014 IEEE

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“…Takahashi [2] proposed a linear quadratic optimal control using a two-state linear engine model, which is identified using the least square method with idle air control (IAC) and engine speed as the input and output, respectively. The performance index consists of the speed deviation and control effort.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Idle Speed Control for Spark-Ignition Engines

Hsieh

Chen

2007

SAE Technical Paper Series

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Due to the nonlinear time-varying nature of the sparkignition engine, an adaptive multi-input single-output (MISO) controller based on self-tuning regulator (STR) is proposed for idle speed control in this paper. The spark timing and idle air control are simultaneously employed as control inputs for maintaining the desired idle speed, and are designed based on P and PI type STR, respectively. The Recursive Least Square technique is employed to identify the engine as a first-order MISO linear model. Pole placement technique is then used to design the adaptive MISO controller. Performances of the proposed algorithm are evaluated using a nonlinear engine model in Matlab/Simulink. The system parameters with 10% uncertainties are also utilized to perform the associated robustness analysis. Preliminary simulation results show significant reduction of speed deviations under the presence of torque disturbances and model uncertainties.

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A Simple Engine Model for Idle Speed Control

Cited by 20 publications

References 13 publications

Design of optimal servo-systems for engine test bed by ILQ method

Design of optimal servo-systems for engine test bed by ILQ method

Improving the stability and fuel economy for Belt-Starter Generator Mild HEV at idle speed using model predict control

Adaptive Idle Speed Control for Spark-Ignition Engines

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