scholarly journals Parameter Identification of Nonlinear System on Combustion Engine Based MVEM using PEM

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Trigas Badmianto ◽  
Eka Firmansyah ◽  
Adha Imam Cahyadi
Keyword(s):  
Combustion Engine ◽  
Mean Value ◽  
Open Loop ◽  
Injection System ◽  
High Price ◽  
Opening Angle ◽  
Virtual Sensors ◽  
Transport Delay ◽  
Lambda Sensor ◽  
Non Linear System

In four-stroke engine injection system, often called spark ignition (SI) engine, the air-fuel ratio (AFR) is taken from the measurement of lambda sensor in the exhaust. This sensor does not directly describe how much AFR in the combustion chamber due to the large transport delay. Therefore, the lambda sensor is used only as a feedback in AFR control "correction", not as the "main" control. The purpose of this research is to identify the parameters of the non-linear system in SI engines to produce AFR estimator. The AFR estimator is expected to be used as a feedback of the main "AFR" control system. The process of identifying the parameters using the Gauss-Newton method, due to its rapid computation to Achieve convergence, is based on prediction error minimization (PEM). The models of AFR estimator is an open-loop system without a universal exhaust gas oxygen (UEGO) sensors as feedback, called a virtual AFR sensor. The high price of UEGO sensors makes the virtual AFR sensor can be a practical solution to be applied in AFR control. The model in this research is based on the mean value engine models (MVEM) with some modifications. The research dataset was taken from a Hyundai Verna 2002 with the additional UEGO type of lambda sensors. The throttle opening angle (input) is played by stepping on the gas pedal and the signal to the injector (input) is set to a certain quantity to produce the AFR (output) value read by the UEGO sensor. This research produces an open loop estimator model or AFR virtual sensors with normalized root mean square error (NRMSE) = 0.06831 = 6.831%.

scholarly journals Fuel Consumption Analysis of Injection System and Carburetor System on Honda Beat Fi 2013

2020 ◽  
Vol 20 (3) ◽  
pp. 141-144
Author(s):  
Nyoman Sutarna ◽  
◽  
I Nengah Ludra Antara ◽  
Daud Simon Anakottapary
Keyword(s):  
Combustion Chamber ◽  
Fuel Consumption ◽  
Combustion Engine ◽  
Real Data ◽  
Fuel Mixture ◽  
Electronic System ◽  
Mean Value ◽  
Injection System ◽  
Average Value ◽  
The Mean

An injection system is a process of burning fuel on an internal combustion engine by using an electronic system to inject fuel with air into the combustion chamber. The carburetor system uses a nozzle to blur the fuel mixture with the combustor air. The purpose of this study was to determine differences in the value of fuel consumption from the injection system with the carburetor system. This research was conducted by the experimental method. The results of the analysis showed that the average value of fuel consumption even with the injection system was 51.53ml, while the mean value of the carburetor system was 90.40 ml, this meant that the injection system was more efficient compared to the carburetor system of 44.89 ml or 47%. Conclusion injection system at any rotation is more economical than the carburetor system. It is recommended to conduct further research by taking real data that is distance and travel time.

Control Systems for Automotive Vehicle Fuel Economy: A Literature Review

1981 ◽  
Vol 103 (3) ◽  
pp. 173-180 ◽  
Author(s):  
L. M. Sweet
Keyword(s):  
Control Systems ◽  
Combustion Engine ◽  
Control Strategies ◽  
Engine Performance ◽  
Type Systems ◽  
Open Loop ◽  
Feedback Systems ◽  
Fuel Flow ◽  
Loop Feedback ◽  
Hybrid Vehicle Control

This paper is a review of current research on applications of control systems and theory to achieve energy conservation in automotive vehicles. The development of internal combustion engine control systems that modulate fuel flow, air flow, ignition timing and duration, and exhaust gas recirculation is discussed. The relative advantages of physical and empirical models for engine performance are reviewed. Control strategies presented include optimized open-loop schedule type systems, closed-loop feedback systems, and adaptive controllers. The development of power train and hybrid vehicle control systems is presented, including controllers for both conventional transmissions and those employing flywheel energy storage.

scholarly journals Series pid pitch controller of large wind turbines generator

2015 ◽  
Vol 12 (2) ◽  
pp. 183-196
Author(s):  
Aleksandar Micic ◽  
Miroslav Matausek
Keyword(s):  
Damping Ratio ◽  
Stable Process ◽  
Control Variable ◽  
Open Loop ◽  
Step Response ◽  
Process Step ◽  
Transport Delay ◽  
Oscillatory Dynamics ◽  
Natural Mechanism ◽  
Order Butterworth Filter

For this stable process with oscillatory dynamics, characterized with small damping ratio and dominant transport delay, design of the series PID pitch controller is based on the model obtained from the open-loop process step response, filtered with the second-order Butterworth filter Fbw. Performance of the series PID pitch controller, with the filter Fbw, is analyzed by simulations of the set-point and input/output disturbance responses, including simulations with a colored noise added to the control variable. Excellent performance/robustness tradeoff is obtained, compared to the recently proposed PI pitch controllers and to the modified internal model pitch controller, developed here, which has a natural mechanism to compensate effect of dominant transport delay.

Automated Engine Calibration Optimization Using Online Extremum Seeking

2018 ◽  
Author(s):  
Ripudaman Singh ◽  
Andrew Mansfield ◽  
Margaret Wooldridge
Keyword(s):  
Control Parameter ◽  
Gasoline Engine ◽  
Fuel Injection ◽  
Engine Performance ◽  
Extremum Seeking ◽  
Injection System ◽  
Test Time ◽  
Injection Timing ◽  
Promising Alternative ◽  
Non Linear System

Emissions compliance during engine start-up conditions is a major obstacle for current automotive manufacturers across global markets. The challenges to meeting emissions targets are both due to increasingly stringent regulations and the difficulty in developing control strategies for a high degree-of-freedom and highly non-linear system. Online extremum-seeking (ES) methods offer a promising alternative to traditional optimization based on design-of-experiment based automotive calibration. With extremum-seeking methods, results from all prior experiments are used to intelligently and efficiently generate the next iteration of the control parameter(s). In this work, the applicability of the online extremum-seeking method is explored to optimize five performance variables (injection timing for two injection events, the injection fuel mass divided between the first and second injection events, air-fuel equivalence ratio and exhaust cam timing) to minimize brake specific fuel consumption while imposing different constraints on NOx emissions. The experiments were conducted using a production turbocharged four-cylinder gasoline engine with an advanced fuel injection system. The results show the utility of the ES strategy to quickly identify optimal control parameter combinations and the emissions and engine performance improvements during the calibration process. The results also demonstrate the dramatic benefit of the ES calibration strategy in terms of test time required.

Development of a NOx Sensor Minimization Control Algorithm for Control of Gas Engines With NSCR

2013 ◽  
Author(s):  
John M. Gattoni ◽  
Daniel B. Olsen
Keyword(s):  
Natural Gas ◽  
Control Algorithm ◽  
Combustion Engine ◽  
Control Strategies ◽  
Catalyst System ◽  
Critical Issue ◽  
Exhaust Emission ◽  
Oxides Of Nitrogen ◽  
Nox Sensor ◽  
Lambda Sensor

High exhaust emissions reduction efficiencies from a spark ignited (SI) internal combustion engine utilizing a Non Selective Catalyst Reduction (NSCR) catalyst system require complex fuel control strategies. The allowable equivalence ratio (Φ) operating range is very narrow where NSCR systems achieve high exhaust emission reduction efficiencies of multiple species. Current fuel control technologies utilizing lambda sensor feedback for natural gas spark ignited engines are reported to be unable to sustain these demands for extended operation periods and when transients are introduced. Lambda sensor accuracy is the critical issue with current fuel controllers. The goal of this project was to develop a minimization control algorithm utilizing an oxides of nitrogen (NOx) sensor installed downstream of the NSCR catalyst system for feedback air/fuel ratio control. Testing was performed on a 100kW rated natural gas Cummins-Onan generator set that was reconfigured to operate utilizing an electronic gas carburetor (EGC2) with lambda sensor feedback and high reduction efficiency NSCR catalyst system. The control algorithm was programmed utilizing a Labview interface that communicated with the electronic gas carburetor where the fuel trim adjustment was physically made. Improvement under steady state operation was observed. The system was also evaluated during load and fuel composition transients.

A Control Oriented SI and HCCI Hybrid Combustion Model for Internal Combustion Engines

2010 ◽  
Author(s):  
Xiaojian Yang ◽  
Guoming G. Zhu ◽  
Zongxuan Sun
Keyword(s):  
Steady State ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Fuel Efficiency ◽  
Combustion Process ◽  
Internal Combustion ◽  
Mean Value ◽  
Combustion Model ◽  
Zone Model ◽  
Transient Control

The combustion mode transition between SI (spark ignited) and HCCI (Homogeneously Charged Compression Ignition) of an IC (Internal Combustion) engine is challenge due to the thermo inertia of residue gas; and model-based control becomes a necessity. This paper presents a control oriented two-zone model to describe the hybrid combustion that starts with SI combustion and ends with HCCI combustion. The gas respiration dynamics were modeled using mean-value approach and the combustion process was modeled using crank resolved method. The developed model was validated in an HIL (Hardware-In-the-Loop) simulation environment for both steady-state and transient operations in SI, HCCI, and SI-HCCI hybrid combustion modes through the exhaust valve timing control (recompression). Furthermore, cooled external EGR (exhaust gas re-circulation) was used to suppress engine knock and enhance the fuel efficiency. The simulation results also illustrates that the transient control parameters of hybrid combustion is quite different from these in steady state operation, indicating the need of a control oriented SI-HCCI hybrid combustion model for transient combustion control.

An L1 adaptive closed-loop guidance law for an orbital injection problem

2009 ◽  
Vol 223 (6) ◽  
pp. 753-761 ◽  
Author(s):  
J Roshanian ◽  
M Zareh ◽  
H H Afshari ◽  
M Rezaei
Keyword(s):  
Closed Loop ◽  
Adaptive Strategy ◽  
Analytical Form ◽  
Open Loop ◽  
Control Input ◽  
Guidance Law ◽  
Non Linear ◽  
Non Linear System ◽  
Orbital Injection

The current paper presents the determination of a closed-loop guidance law for an orbital injection problem using two different approaches and, considering the existing time-optimal open-loop trajectory as the nominal solution, compares the advantages of the two proposed strategies. In the first method, named neighbouring optimal control (NOC), the perturbation feedback method is utilized to determine the closed-loop trajectory in an analytical form for the non-linear system. This law, which produces feedback gains, is in general a function of small perturbations appearing in the states and constraints separately. The second method uses an L1 adaptive strategy in determination of the non-linear closed-loop guidance law. The main advantages of this method include characteristics such as improvement of asymptotic tracking, guaranteed time-delay margin, and smooth control input. The accuracy of the two methods is compared by introducing a high-frequency sinusoidal noise. The simulation results indicate that the L1 adaptive strategy has a better performance than the NOC method to track the nominal trajectory when the noise amplitude is increased. On the other hand, the main advantage of the NOC method is its ability to solve a non-linear, two-point, boundary-value problem in the minimum time.

Assessment of a Strategy for Optimum Control of Ignition Advance Angle

1988 ◽  
Vol 202 (1) ◽  
pp. 1-8 ◽  
Author(s):  
R S Quayle ◽  
S R Bhot
Keyword(s):  
Combustion Engine ◽  
Electronic System ◽  
Open Loop ◽  
Operating Conditions ◽  
Ignition Timing ◽  
System A ◽  
Engine Design ◽  
Peak Cylinder Pressure ◽  
Crank Angle ◽  
Inlet Manifold

The control of ignition timing in an internal combustion engine can improve fuel consumption. Electronic control implemented in software with a microprocessor has advantages over conventional mechanical systems. An open-loop electronic system, while incorporating an optimum profile against inlet manifold vacuum and speed, cannot readily adjust for wear. The optimum crank angle at which the peak cylinder pressure occurs has been found to be reasonably constant for a particular engine design irrespective of operating conditions. This paper presents a discussion of the use of this parameter as a measurand for a closed-loop ignition timing system. A discussion is presented of the control strategy used and results demonstrate the ability of the strategy to maintain constant the peak pressure position.

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