Simple adaptive air-fuel ratio control of a port injection SI engine with a cylinder pressure sensor

Khajorntraidet, Chanyut; Ito, Kazuhisa

doi:10.1007/s11768-015-4149-8

Cited by 16 publications

(13 citation statements)

References 9 publications

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“…Initializing the TFT-LCD screen and the Dobot manipulator in the main functions, and then continuously detect the touch button coordinates, after smoothing filter processing, the coordinates can be get and displayed on the TFT touch screen, so that a gesture drawing function can be achieved [18]. The touch screen coordinates is transformed into XYZ values of the Dobot arm and sends the commands to the arm in PTP mode.…”

Section: Gesture Control In the Touch Screenmentioning

confidence: 99%

Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform

Yang²,

Li³

et al. 2018

2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

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To implement the control system of a multi-DOF robotic manipulator (Dobot), the robot dynamics, trajectory planning algorithm and motion control strategy are studied for designing the trajectory tracking control system. In this paper, the hardware and software of Dobot magician control system are designed. The hardware mainly includes STM32 controller. The software part mainly builds the host computer display interface, completes the protocol communication between the robot manipulator and the PC, so as to realize the trajectory tracking control of the robot manipulator and implement the trackfollowing in real time. The experimental results show that the control system can accurately track the trajectory of robotic manipulator with a certain degree of real-time and stability.

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Section: Gesture Control In the Touch Screenmentioning

confidence: 99%

Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform

Yang²,

Li³

et al. 2018

2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)

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“…Compared to (10) where the derivative of f m appears in the denominator, the calculation of derivatives in (12) is much easier. In (12), f m can be obtained from (4) and ao m can be determined by differentiating (2) using (1), (7) - (8) as…”

Section: B Problem Reformulationmentioning

confidence: 99%

“…A simplified adaptive controller was proposed which shows both simplicity and robustness under the certain conditions [10]. However, this controller requires the in-cylinder pressure sensor, which is very expensive and generally not available in commercial cars.…”

mentioning

confidence: 99%

Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

Chen

Herrmann

et al. 2017

2017 9th International Conference on Modelling, Identification and Control (ICMIC)

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Abstract-This paper presents a novel adaptive controller of air-fuel ratio (AFR) in spark ignition (SI) engines. The controller robustly estimates unknown time-varying engine parameters and thus improves both the transient and steady-state performance. The objective is to regulate the AFR in the combustion chamber around the stoichiometric value by manipulating the injected fuel mass flow rate so as to improve fuel economy and to reduce emissions. The AFR regulation problem is first reformulated into a tracking control problem of the fuel mass flow. This simplifies the control synthesis, i.e. the number of parameters to be online updated can be reduced. Then a representation of the parameter estimation error is derived by using auxiliary filter operations, which is used as a new leakage term in the adaptive law. In this case, exponential convergence of the AFR error and the estimation of the time-varying parameters can be proved simultaneously. The proposed controller is compared with a generic adaptive controller using the gradient descent method based on a well-calibrated mean value engine model (MVEM). Finally, the proposed controller is also validated with a commercial engine simulation software, GT-Power, demonstrating better results for the suggested adaptive controller than for the gradient descent approach.

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“…In [10], the data from the in-cylinder pressure are used to estimate the AFR value and the associated model. A new adaptive control was presented to address the timedelay dynamics in the AFR control loop of SI engines [11].…”

mentioning

confidence: 99%

“…A new adaptive control was presented to address the timedelay dynamics in the AFR control loop of SI engines [11]. However, the fuel film effect was not explicitly studied in [10,11]. In [3], an adaptive AFR control was designed, where the model parameters are online updated, while the closed-loop stability is rigorously proved in terms of Lyapunov theory.…”

mentioning

confidence: 99%

Air-fuel-ratio control of engine system with unknown input observer

Herrmann

Rames

et al. 2016

2016 UKACC 11th International Conference on Control (CONTROL)

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Abstract-This paper presents an alternative control to maintain the air-fuel-ratio (AFR) of port-injected spark ignition (SI) engines at certain value, i.e. stoichiometric value, to improve the fuel economy. We first reformulate the AFR regulation problem as a tracking control for the injected fuel mass flow rate, which can simplify the control synthesis when the fuel film dynamics are taken into account. The unknown engine parameters and dynamics can be lumped as an unknown signal, and then compensated by incorporating the unknown input observer into the control design. Only the measurable air mass flow rate through throttle, manifold pressure and temperature, and the universal exhaust gas oxygen (UEGO) sensor are utilized. Simulations based on a mean-value engine model (MVEM)illustrate that the proposed control can achieve satisfactory transient and steady-state performance with strong robustness when the engine is operated in varying speed conditions.Keywords-Air-to-fuel ratio control, Spark ignition engine, Unknown input observer, Mean-value engine model.

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Simple adaptive air-fuel ratio control of a port injection SI engine with a cylinder pressure sensor

Cited by 16 publications

References 9 publications

Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform

Implementing Multi-DOF Trajectory Tracking Control System for Robotic Arm Experimental Platform

Adaptive air-fuel ratio control for spark ignition engines with time-varying parameter estimation

Air-fuel-ratio control of engine system with unknown input observer

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