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

Triwiyatno, Aris; Nuh, Mohammad; Santoso, Ari; Sutantra, I Nyoman

doi:10.7763/ijet.2011.v3.252

Cited by 8 publications

(5 citation statements)

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“…In this paper the angle of the throttle plate is the control input. The mathematical representation of throttle body can be described using (1)-(3) [13][14][15][16][17].…”

Section: Fundamental Theory 21 Spark Ignition Enginementioning

confidence: 99%

“…The difference is in the incoming and outgoing mass flow rates representing the net rate of change of air mass with respect to time. The mathematical representation of intake manifold can be described using (4) [13][14][15][16][17]. In 4, R, T, Vm, and ma0 are specific gas constant, temperature, manifold volume, and mass flow rate of air out of manifold pressure.…”

Section: Fundamental Theory 21 Spark Ignition Enginementioning

confidence: 99%

“…Torqueeng are spark advance and torque produced by the engine. Furthermore, the engine speed of spark ignition engine can be described using (6), where J and N are moment of inertia and engine speed [13][14][15][16][17].…”

Section: Fundamental Theory 21 Spark Ignition Enginementioning

confidence: 99%

See 2 more Smart Citations

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

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The most common problem in spark ignition engine is how to increase the speed performance. Commonly researchers used traditional mathematical approaches for designing speed controller of spark ignition engine. However, this solution may not be sufficient. Hence, it is important to design the speed controller using smart methods. This paper proposes a method for designing speed controller of a spark ignition engine using the bat algorithm (BA). The simulation is carried out using the MATLAB/SIMULINK environment. Time domain simulation is carried out to investigate the efficacy of the proposed method. From the simulation results, it is found that by designing speed controller of spark ignition engine using PI based bat algorithm, the speed performance of spark ignition engine can be enhanced both in no load condition and load condition compared to conventional PI controler.

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“…In this paper the angle of the throttle plate is the control input. The mathematical representation of throttle body can be described using (1)-(3) [13][14][15][16][17].…”

Section: Fundamental Theory 21 Spark Ignition Enginementioning

confidence: 99%

Section: Fundamental Theory 21 Spark Ignition Enginementioning

confidence: 99%

See 1 more Smart Citation

Design of spark ignition engine speed control using bat algorithm

Setiadi

Jones

Nugroho

et al. 2021

IJECE

View full text Add to dashboard Cite

show abstract

“…L : number of all operating point. ( 2 1 ) With and (22) whereu i ismembership factorfor i-th ruleusingsumprodinference method.…”

Section: Robust Fuzzy Controllermentioning

confidence: 99%

Design of robust-fuzzy controller for SMIB based on power-load cluster model with time series analysis

Mado

Soeprijanto

Suhartono

2014

2014 Electrical Power, Electronics, Communicatons, Control and Informatics Seminar (EECCIS)

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Dynamic stability analysis is one of important issue in electrical power system study. This paper aims to analyze and design the control of power generation operation system in small disturbance events. This condition is affected by changes in the prime mover of mechanical power input in generator system due to power fluctuation in load, so that the system becomes unstable. In the analysis of electrical power distribution, generation unit provides power output based on regulations of fluctuating power. This distribution system that provides continuous data periodically is actually performing a pattern of dynamic time series model. Within the statistical methods analysis, the presentation of load data will be analyzed through clustering method based on the average distribution and peak loads. This kind of pattern description is purposed to enable the control system for anticipating the changes in the load model, where each of load cluster represents one dynamic system model in appropriate operation condition. The solution of dynamic models control systems, performed by Takagi-Sugeno Fuzzy Inference System (TS-FIS) as multiple soft switching controllers and optimal control gain for each dynamic model. Those can be distributed into TS-FIS outputs, to achieve robustness of power generation system that affected by changes in huge variation of load power. In this study, the cluster analysis technique has produced seven data's groups with interval of 18 MVA. By performing Robust-Fuzzy control through TS-FIS as multiple soft switching, can be proved that the power generating performance is better than using Linear Quadratic Regulator (LQR) optimal control, since Robust-Fuzzy control Integral Absolute Error (IAE) is better than LQR optimal control IAE.

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“…FLC has been widely applied to car engine control as AFR control, emissions, and torque [31,32,33]. However, the application for AFR control is the most popular researched.…”

Section: Introductionmentioning

confidence: 99%

AFR and fuel cut-off modeling of LPG-fueled engine based on engine, transmission, and brake system using fuzzy logic controller (FLC)

Setiyo

Munahar

2017

J. Mechatron. Electr. Power Veh. Technol.

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During deceleration, continuous fuel flows into the engine not only causing over fuel consumption but also increasing exhausts emissions. Therefore, this paper presents a simulation of AFR and fuel cut-off modeling in the LPG-fueled vehicle using Fuzzy Logic Controller (FLC). The third generation of LPG kits (Liquid Phase Injection, LPI) was chosen due to its technological equivalency to EFI gasoline engine and promising to be developed. Given that the fuel system control is complex and non-linear, FLC has been selected because of simple, easy to understand, and tolerant to improper data. Simulation results show that the AFR and fuel cut-off controller able to maintenance AFR at the stoichiometric range during normal operation and able to cut the fuel flow at deceleration time for saving fuel and reducing emissions.

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

Cited by 8 publications

References 0 publications

Design of spark ignition engine speed control using bat algorithm

Design of spark ignition engine speed control using bat algorithm

Design of robust-fuzzy controller for SMIB based on power-load cluster model with time series analysis

AFR and fuel cut-off modeling of LPG-fueled engine based on engine, transmission, and brake system using fuzzy logic controller (FLC)

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