Cylinder pressure sensor-based real-time combustion phase control approach for SI engines

2016 ◽  
Vol 12 (2) ◽  
pp. 244-250 ◽  
Author(s):  
Jinwu Gao ◽  
Tielong Shen
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Phase Control ◽  
Cylinder Pressure ◽  
Control Approach ◽  
Combustion Phase ◽  
Si Engines

Real-time IMEP Estimation for Torque-based Engine Control using an In-cylinder Pressure Sensor

2009 ◽  
Author(s):  
Seungsuk Oh ◽  
Daekyung Kim ◽  
Junsoo Kim ◽  
Byounggul Oh ◽  
Kangyoon Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Engine Control ◽  
Cylinder Pressure

scholarly journals A Virtual In-Cylinder Pressure Sensor Based on EKF and Frequency-Amplitude-Modulation Fourier-Series Method

Sensors ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 3122
Author(s):  
Qiming Wang ◽  
Tao Sun ◽  
Zhichao Lyu ◽  
Dawei Gao
Keyword(s):  
Fourier Series ◽  
Real Time ◽  
Pressure Sensor ◽  
High Accuracy ◽  
Efficiency Coefficient ◽  
Cylinder Pressure ◽  
Cumulative Error ◽  
Optimal Output ◽  
Iteration Model ◽  
Error Percentage

As a crucial and critical factor in monitoring the internal state of an engine, cylinder pressure is mainly used to monitor the burning efficiency, to detect engine faults, and to compute engine dynamics. Although the intrusive type cylinder pressure sensor has been greatly improved, it has been criticized by researchers for high cost, low reliability and short life due to severe working environments. Therefore, aimed at low-cost, real-time, non-invasive, and high-accuracy, this paper presents the cylinder pressure identification method also called a virtual cylinder pressure sensor, involving Frequency-Amplitude Modulated Fourier Series (FAMFS) and Extended-Kalman-Filter-optimized (EKF) engine model. This paper establishes an iterative speed model based on burning theory and Law of energy Conservation. Efficiency coefficient is used to represent operating state of engine from fuel to motion. The iterative speed model associated with the throttle opening value and the crankshaft load. The EKF is used to estimate the optimal output of this iteration model. The optimal output of the speed iteration model is utilized to separately compute the frequency and amplitude of the cylinder pressure cycle-to-cycle. A standard engine’s working cycle, identified by the 24th order Fourier series, is determined. Using frequency and amplitude obtained from the iteration model to modulate the Fourier series yields a complete pressure model. A commercial engine (EA211) provided by the China FAW Group corporate R&D center is used to verify the method. Test results show that this novel method possesses high accuracy and real-time capability, with an error percentage for speed below 9.6% and the cumulative error percentage of cylinder pressure less than 1.8% when A/F Ratio coefficient is setup at 0.85. Error percentage for speed below 1.7% and the cumulative error percentage of cylinder pressure no more than 1.4% when A/F Ratio coefficient is setup at 0.95. Thus, the novel method’s accuracy and feasibility are verified.

Real-time NOx estimation in light duty diesel engine with in-cylinder pressure prediction

2021 ◽  
pp. 146808742110157
Author(s):  
Youngbok Lee ◽  
Seungha Lee ◽  
Kyoungdoug Min
Keyword(s):  
Prediction Model ◽  
Real Time ◽  
Pressure Sensor ◽  
Design Stage ◽  
Lean Nox Trap ◽  
Nox Emissions ◽  
Cylinder Pressure ◽  
Estimation Model ◽  
Light Duty ◽  
Light Duty Vehicle

Recently, there have been numerous efforts to cope with automotive emission regulations. Various strategies to reduce engine-out NOx emissions and proper after-treatment systems, such as selective catalytic reduction (SCR) and lean NOx trap (LNT), have been taken into account in the engine research field. In this study, real-time engine-out NOx prediction model was established where zero-dimensional NO and NO2 models were combined with in-cylinder pressure model. During the procedure for estimating NO and NO2 (NOx), a real-time prediction model of in-cylinder pressure was applied so that the inputs to the NOx prediction model could be provided only by the data acquired from the engine control unit (ECU). This implies that an in-cylinder pressure sensor is not necessarily required to properly predict the engine-out NOx in real time. The real-time NOx estimation model was validated through the worldwide harmonized light-duty vehicle test cycle (WLTC) without a pressure sensor, and the total NOx error during the mode was comparable with the total NOx error of the portable NOx sensor. This real-time NOx estimation model can ultimately contribute to minimizing tail-pipe NOx emissions by influencing both emission calibration at the engine design stage and the management of NOx after-treatment systems where NOx conversion efficiency is heavily affected by the NO2/NO ratio.

Spark Ignition Feedback Control by Means of Combustion Phase Indicators on Steady and Transient Operation

2014 ◽  
Vol 136 (5) ◽  
Author(s):  
Pipitone Emiliano
Keyword(s):  
Feedback Control ◽  
Closed Loop ◽  
Spark Ignition ◽  
Engine Control ◽  
Cylinder Pressure ◽  
Timing Control ◽  
Spark Timing ◽  
Combustion Phase ◽  
Si Engines ◽  
And Control

In order to reduce fuel cost and CO2 emissions, modern spark ignition (SI) engines need to lower as much as possible fuel consumption. A crucial factor for efficiency improvement is represented by the combustion phase, which in an SI engine is controlled acting on the spark advance. This fundamental engine parameter is currently controlled in an open-loop by means of maps stored in the electronic control unit (ECU) memory: such kind of control, however, does not allow running the engine always at its best performance, since optimal combustion phase depends on many variables, like ambient conditions, fuel quality, engine aging, and wear, etc. A better choice would be represented by a closed-loop spark timing control, which may be pursued by means of combustion phase indicators, i.e., parameters mostly derived from in-cylinder pressure analysis that assume fixed reference values when the combustion phase is optimal. As documented in literature (Pestana, 1989, “Engine Control Methods Using Combustion Pressure Feedback,” SAE Paper No. 890758; BERU Pressure Sensor Glow Plug (PSG) for Diesel Engines, http://beru.federalmogul.com; Sensata CPOS SERIES—Cylinder Pressure Only Sensors, http://www.sensata.com/download/cpos.pdf; Malaczynski et al., 2013, “Ion-Sense-Based Real-Time Combustion Sensing for Closed-Loop Engine Control,” SAE Int. J. Eng., 6(1), pp. 267–277; Yoshihisa et al., 1988, “MBT Control Through Individual Cylinder Pressure Detection,” SAE Paper 881779; Powell, 1993, “Engine Control Using Cylinder Pressure: Past, Present, and Future,” J. Dyn. Syst., Meas. Control, 115, pp. 343–350; Muller et al., 2000, “Combustion Pressure Based Engine Management System,” SAE Paper 2000-01-0928; Yoon et al., 2000, “Closed-Loop Control of Spark Advance and Air-Fuel Ratio in SI Engines Using Cylinder Pressure,” SAE Paper 2000-01-0933; Eriksson, 1999, “Spark Advance Modeling and Control,” Dissertation N° 580, Linkoping Studies in Science and Technology, Linköping, Sweden; Samir et al., 2011, “Neural Networks and Fuzzy Logic-Based Spark Advance Control of SI Engines,” Expert Syst. Appl., 38, pp. 6916–6925; Cook et al., 1947, “Spark-Timing Control Based on Correlation of Maximum-Economy Spark Timing, Flame-Front Travel, and Cylinder Pressure Rise,” NACA Technical Note 1217; Bargende, 1995, “Most Optimal Location of 50% Mass Fraction Burned and Automatic Knock Detection,” MTZ, 10(56), pp. 632–638.), the use of combustion phase indicators allows the determination of the best spark advance, apart from any variable or boundary condition. The implementation of a feedback spark timing control, based on the use of these combustion phase indicators, would ensure the minimum fuel consumption in every possible condition. Despite the presence of many literature references on the use combustion phase indicators, there is no evidence of any experimental comparison on the performance obtainable, in terms of both control accuracy and transient response, by the use of such indicators in a spark timing feedback control. The author, hence, carried out a proper experimental campaign comparing the performances of a proportional-integral spark timing control based on the use of five different in-cylinder pressure derived indicators. The experiments were carried out on a bench test, equipped with a series production four cylinder spark ignition engine and an eddy current dynamometer, using two data acquisition (DAQ) systems for data acquisition and spark timing control. Pressure sampling was performed by means of a flush mounted piezoelectric pressure transducer with the resolution of one crank angle degree. The feedback control was compared to the conventional map based control in terms of response time, control stability, and control accuracy in three different kinds of tests: steady-state, step response, and transient operation. All the combustion phase indicators proved to be suitable for proportional-integral feedback spark advance control, allowing fast and reliable control even in transient operations.

Real-Time Combustion Phase Detection Using Central Normalized Difference Pressure in CRDI Diesel Engines

2012 ◽  
Vol 134 (8) ◽  
Author(s):  
Jongsuk Lim ◽  
Seungsuk Oh ◽  
Jeasung Chung ◽  
Myoungho Sunwoo
Keyword(s):  
Real Time ◽  
Diesel Engines ◽  
Fuel Efficiency ◽  
Operating Conditions ◽  
Boost Pressure ◽  
Cylinder Pressure ◽  
Phase Detection ◽  
Pressure Data ◽  
Maximum Value ◽  
Combustion Phase

To develop eco-friendly diesel engines, accurate combustion phase control is important due to its significant effects on harmful emissions and fuel efficiency. In order to accurately control the combustion phase, the detection of the combustion phase should precede control system design. Currently, combustion phase detection is done by the location of 50% mass fraction burned (MFB50), because of its close correlation with emissions and fuel efficiency. However, this method is not easily implemented in real-time applications because the calculation of MFB50 requires a large amount of in-cylinder pressure data and an excessive computational load. For this reason, a combustion phase indicator with a simple algorithm is required for real-time combustion control. In this study, we propose a new combustion phase indicator, called the “Central normalized difference pressures (CNDP).” The CNDP indicates the center of the two crank angles where the normalized difference pressure between firing pressure and motoring pressure (NDP) reaches 90% of the maximum value before peak (NDPbp90), and 70% of the maximum value after peak (NDPap70). The NDPbp90 and NDPap70 are highly correlated with MFB50 and the correlation is enhanced as the center between the two points obtained. The CNDP is represented by a fixed quadratic polynomial with MFB50 that robust to changes in various engine operating conditions such as engine speed, main injection timing, injected fuel quantity, fuel-rail pressure, exhaust gas recirculation (EGR) rate and boost pressure. Furthermore, in performance evaluation, the CNDP requires remarkably fewer in-cylinder pressure data samples, calculation steps and less computation time compared to MFB50. These results show great potential for the CNDP to be a substitute for the MFB50 since the proposed combustion phase detection algorithm can be used effectively for real-time combustion phase detection and control.

scholarly journals Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 420
Author(s):  
Phong B. Dao
Keyword(s):  
Real Time ◽  
Feedforward Control ◽  
Design Method ◽  
Mechatronic Systems ◽  
Control Approach ◽  
Runtime Environment ◽  
Multiagent Control ◽  
On Line ◽  
Promising Solution ◽  
Function Approximator

Multiagent control system (MACS) has become a promising solution for solving complex control problems. Using the advantages of MACS-based design approaches, a novel solution for advanced control of mechatronic systems has been developed in this paper. The study has aimed at integrating learning control into MACS. Specifically, learning feedforward control (LFFC) is implemented as a pattern for incorporation in MACS. The major novelty of this work is that the feedback control part is realized in a real-time periodic MACS, while the LFFC algorithm is done on-line, asynchronously, and in a separate non-real-time aperiodic MACS. As a result, a MACS-based LFFC design method has been developed. A second-order B-spline neural network (BSN) is used as a function approximator for LFFC whose input-output mapping can be adapted during control and is intended to become equal to the inverse model of the plant. To provide real-time features for the MACS-based LFFC system, the open robot control software (OROCOS) has been employed as development and runtime environment. A case study using a simulated linear motor in the presence of nonlinear cogging and friction force as well as mass variations is used to illustrate the proposed method. A MACS-based LFFC system has been designed and implemented for the simulated plant. The system consists of a setpoint generator, a feedback controller, and a time-index LFFC that can learn on-line. Simulation results have demonstrated the applicability of the design method.

A Real Time Vehicle Collision Sensor and Reporting System Using Load Sensor, GSM and GPS Technology

2013 ◽  
Vol 718-720 ◽  
pp. 1740-1745
Author(s):  
Tulu Muluneh Mekonnen ◽  
De Ning Jiang ◽  
Yong Xin Feng
Keyword(s):  
Real Time ◽  
Pressure Sensor ◽  
Reporting System ◽  
Electronic Device ◽  
Text Message ◽  
Sensor System ◽  
Gps Receiver ◽  
Gps Technology ◽  
Vehicle Collision ◽  
Load Sensor

Vehicle collision sensor system and reporting accident to police is an electronic device installed in a vehicle to inform police man in case of accident to track the vehicles location. This system works using pressure sensor, GPS and GSM technology. These technology embedded together to sense the vehicle collision and indicate the position of the vehicle or locate the place of accident in order to solve the problem immediately (as soon as possible).For doing so AT89S52 microcontroller is interfaced serially to a GSM modem, GPS receiver, and pressure sensor. A GSM modem is used to send the position (Latitude and Longitude) of the vehicle, the plate of the vehicle and the SMS text from the accident place. The GPS modem will continuously give the data (longitude and latitude) and Load sensor senses the collision of the vehicle against obstacles and input to microcontroller. As load sensor senses the collision, the GSM start to send the plate of the vehicle, text message and the position of the vehicle in terms of latitude and longitude in real time.

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