전자식 선박디젤엔진의 엔진제어기 개발/연구

심한섭(Han-Sub Sim),이민광(Min-Kwang Lee),이강윤(Kang-Yoon Lee) 한국기계가공학회 2015 한국기계가공학회지 Vol.14 No.5

A control program of an engine control module (ECM) was developed, and its control performance was verified on a 750Ps marine diesel engine. The control method was designed for an engine rotational speed control system. For ECM hardware, the commercial rapid control prototype (RCP) ECM was used. The programming tool for control algorithm development was the MatLab/Simulink. The main control algorithm assembled many control models as engine cranking, run, and stall. Each model has sub-models to input/output control signals. The target engine speed was input signal from a speed control lever, and control output signal of the ECM was sent to the unit-injectors for fuel injection. The engine test was performed under various conditions of engine rotational speeds and dynamometer loads. The test results show that the control function of the ECM is suitable for electrical marine diesel engines.

Electrical Engineering Design Method Based on Neural Network and Application of Automatic Control System

Zhe Zhang,Yongchang Zhang 한국정보처리학회 2022 Journal of information processing systems Vol.18 No.6

The existing electrical engineering design method and the dynamic objective function in the application processof automatic control system fail to meet the unbounded condition, which affects the control tracking accuracy. In order to improve the tracking control accuracy, this paper studies the electrical engineering design methodbased on neural network and the application of automatic control system. This paper analyzes the structure andworking mechanism of electrical engineering automation control system by an automation control model withmain control objectives. Following the analysis, an optimal solution of controllability design and fault-tolerantcontrol is figured out. The automatic control power coefficient is distributed based on an ideal control effect ofsystem. According to the distribution results, an automatic control algorithm is based on neural network foraccurate control. The experimental results show that the electrical automation control method based on neuralnetwork can significantly reduce the control following error to 3.62%, improve the accuracy of the electricalautomation tracking control, thus meeting the actual production needs of electrical engineering automationcontrol system.

A Model reference adaptive speed control of marine diesel engine by fusionof PID controller and fuzzy controller

유희한 한국마린엔지니어링학회 2006 한국마린엔지니어링학회지 Vol.30 No.7

The aim of this paper is to design an adaptive speed control system of a marine diesel engine by fusion of hard computing based proportionalintegralderivative (PID) control and soft computing based fuzzy control methods. The model of a marine diesel engine is considered as a typical nonoscillatory, secondorder system. When its model and the actual marine diesel engine are not matched, it is hard to control the speed of the marine diesel engine. Therefore, this paper proposes two methods in order to obtain the speed control characteristics of a marine diesel engine. One is an efficient method to determine the PID control parameters of the nominal model of a marine diesel engine. Second is a reference adaptive speed control method that uses a fuzzy controller and derivative operator for tracking the nominal model of the marine diesel engine. It was found that the proposed PID parameters adjustment method is better than the Ziegler& Nichols’ method, and that a model reference adaptive control is superior to using only PID controller. The improved control method proposed here, could be applied to other systems when a model of a system does not match the actual system.

A Systematic Engineering Approach to Design the Controller of the Advanced Power Reactor 1400 Feedwater Control System using a Genetic Algorithm

Tran, Thanh Cong,Jung, Jae Cheon The Korean Society of Systems Engineering 2018 시스템엔지니어링학술지 Vol.14 No.2

This paper represents a systematic approach aimed at improving the performance of the proportional integral (PI) controller for the Advanced Power Reactor (APR) 1400 Feedwater Control System (FWCS). When the performance of the PI controller offers superior control and enhanced robustness, the steam generator (SG) level is properly controlled. This leads to the safe operation and increased the availability of the nuclear power plant. In this paper, a systems engineering approach is used in order to design a novel PI controller for the FWCS. In the reverse engineering stage, the existing FWCS configuration, especially the characteristics of the feedwater controller as well as the feedwater flow path to each SG from the FWCS, were reviewed and analysed. The overall block diagram of the FWCS and the SG was also developed in the reverse engineering process. In the re-engineering stage, the actual design of the feedwater PI controller was carried out using a genetic algorithm (GA). Lastly, in the validation and verification phase, the existing PI controller and the PI controller designed using GA method were simulated in Simulink/Matlab. From the simulation results, the GA-PI controller was found to exhibit greater stability than the current controller of the FWCS.

MODELING AND VALIDATION OF TURBOCHARGED DIESEL ENGINE AIRPATH AND COMBUSTION SYSTEMS

B. UNVER,Y. KOYUNCUOGLU,M. GOKASAN,S. BOGOSYAN 한국자동차공학회 2016 International journal of automotive technology Vol.17 No.1

The ultimate aim of this study is the development of an engine modeling approach that would facilitate the design of model-based control techniques for diesel engines. This will allow for the development of more generalized, modular control strategies for different engine types and sizes as opposed to the commonly practiced map-based engine control strategies that depend on maps and feedforward control and require lengthy modifications every time a change is made. Also, most engine modeling studies focus on either airpath or combustion systems, treating these models and their validation individually, and not as an integrated system as is actually the case. To address the need for more realistic models suitable for model-based control design, this study develops a combined airpath and combustion model for the engine, using analytical models wherever possible and derives a model with appropriate control inputs and outputs that could be used in a control scheme. The inclusion of the actuator dynamics of the Exhaust gas recirculation (EGR), variable geometry turbine (VGT), and Throttle (THR) valves in the airpath model and the consideration of nonlinearities in the combustion model allow for the development of a more thorough engine model, as well as the validation of subsystems and the whole integrated engine model using a complete World Harmonized Transient Cycle (WHTC). This test cycle finds limited use due to its challenging transients, and yet, is the demanded test cycle for emission regulations nowadays. These are unique aspects of this modeling study, the results of which indicate that the developed engine model could be used in control design and hardware-in-the-loop simulation (HILS) based engine control prototyping.

Vibration control of the engine body of a vehicle utilizing the magnetorheological roll mount and the piezostack right-hand mount

Jeon, Juncheol,Han, Young-Min,Lee, Dong-Young,Choi, Seung-Bok SAGE Publications 2013 Proceedings of the Institution of Mechanical Engin Vol.227 No.11

<P>In this study, a new controllable engine mounting system for vibration control of passenger vehicles is proposed. The proposed mounting system consists of two smart material actuators: a piezostack actuator and a magnetorheological-fluid actuator. First, the dynamic responses of an in-line four-cylinder engine supported by three rubber mounts are mathematically analysed by considering the six-degree-of-freedom motion of the engine body, whose excitation is generated by the inner forces during the engine combustion process. Second, the proper positions of the two actuators are determined. Two magnetorheological mounts are used as roll mounts, and one piezostack mount is used as the right-hand mount, in order to reduce the unwanted engine vibration in a broadband frequency range. Third, the piezostack mount and the magnetorheological mount are designed and manufactured, followed by installation in the engine mounting system. Subsequently, for effective vibration isolation, a sliding-mode controller, which is robust to disturbances and system uncertainties, is designed. Finally, in order to demonstrate the effectiveness of the proposed new engine mounting system, vibration control performances are evaluated by adopting the hardware-in-the-loop simulation test method associated with the sliding-mode controller. The vibration control responses are presented at various engine operating speeds in the time domain and the frequency domain. It was found that the vibration control performance is improved by 30% at an engine speed of 750 r/min and by 17% at an engine speed of 2000 r/min using the proposed engine mounting system associated with the controllers.</P>

Mass air flow control of common-rail diesel engines using an artificial neural network

Oh, Byounggul,Lee, Minkwang,Park, Yeongseop,Won, Jongseob,Sunwoo, Myoungho SAGE Publications 2013 Proceedings of the Institution of Mechanical Engin Vol.227 No.3

<P>This paper presents a non-linear control system design for managing the mass flow rate in a common-rail direct-injection diesel engine. In diesel engines, exhaust gas recirculation systems are used to reduce the nitrogen oxide emissions. Since an exhaust gas recirculation system has highly non-linear characteristics and is coupled with a variable-geometry turbocharger, it requires a non-linear control system, which can substitute for an existing conventional lookup-table-based controller, in order to secure a control performance in the transient operating regime. In this project, the objective of the control system is to track the target mass air flow by adjusting the exhaust gas recirculation valve lift. In order to accomplish this objective, a non-linear control system is proposed that adopts a neural-network-based control scheme and an indirect adaptive control approach. The neural adaptive controller determines the position of the exhaust gas recirculation valve lift for tracking target values, based on measured values. An error back-propagation algorithm for online training of neural networks is employed. The proposed control system was validated with engine experiments under transient operating conditions. It was demonstrated from experimental results that the proposed control system shows an improved target-value-tracking performance, when compared with conventional mass air flow controllers.</P>

Control of the air system of a diesel engine using the intake oxygen concentration and the manifold absolute pressure with nitrogen oxide feedback

Park, Yeongseop,Min, Kyounghan,Chung, Jaesung,Sunwoo, Myoungho SAGE Publications 2016 Proceedings of the Institution of Mechanical Engin Vol.230 No.2

<P>In production-type engine control systems for passenger car diesel engines, the mass air flow is commonly used as a feedback variable for control of the exhaust gas recirculation system. However, the mass air flow is not appropriate as a feedback variable for control of the exhaust gas recirculation system because the mass air flow has a weak correlation with the formation of the nitrogen oxide emissions. Another defect of production-type engine control systems is that the emissions-relevant systems are controlled without emissions feedback. In order to address these problems, this study proposes air system control using the intake oxygen concentration as it has a strong correlation with the formation of the nitrogen oxide emissions with nitrogen oxide feedback. The intake oxygen concentration is estimated using a closed-loop observer, and the estimated intake oxygen concentration is used as a feedback variable for control of the exhaust gas recirculation system. The measured nitrogen oxide concentration is used as emissions feedback control. When the measured nitrogen oxide concentration exceeds the reference nitrogen oxide value, emissions feedback control is activated and causes the set value of the intake oxygen concentration to decrease in order to reduce the nitrogen oxide emissions when the measured nitrogen oxide concentration exceeds the typical value. The proposed air system control method is validated with engine experiments, and the nitrogen oxide emissions are reduced by 11.5-39.8% using nitrogen oxide feedback control in various test cases which cause the drift of the nitrogen oxide emissions.</P>

Influence of MFB50 control on emission dispersions according to engine parameter changes for passenger diesel engines

Oh, S.,Min, K.,Kim, Y.,Lee, K.,Sunwoo, M. Pergamon ; Elsevier Science Ltd 2016 Applied Thermal Engineering Vol.101 No.-

Combustion phase variations in diesel engines due to production tolerance, engine aging, and different combustion conditions cause performance deterioration of fuel economy, torque, and emissions. Therefore, the combustion phase should be controlled by feedback information. A well-known method to control the combustion phase is mass fraction burnt 50% (MFB50) control using in-cylinder pressure. MFB50 control can retain performance through combustion phase compensation despite production tolerance, engine aging, and different combustion conditions. However, MFB50 can compensate only for variations caused by combustion phase changes; therefore, further study is required to supplement the limitation of MFB50 control. In this study, to analyze the effect of MFB50 control on combustion, MFB50 is controlled by adjusting the main injection timing using in-cylinder pressure at 1500@?rpm and a BMEP of four bar according to engine parameter changes. The parameters are fuel rail pressure, boost pressure, mass air flow, swirl valve open, main injection quantity, pilot injection timing, and quantity. While the engine parameters were changing, the influence of MFB50 control on the combustion and emissions was analyzed to establish improvement points for combustion feedback control. Our experiments demonstrated that MFB50 control reduced NOx dispersions but at the cost of increasing PM dispersions. Therefore, to improve MFB50 control, a control algorithm that can handle PM emission dispersion needs to be considered.

PRESSURE MODEL BASED COORDINATED CONTROL OF VGT AND DUAL-LOOP EGR IN A DIESEL ENGINE AIR-PATH SYSTEM

S. Kim,S. CHOI,H. JIN 한국자동차공학회 2016 International journal of automotive technology Vol.17 No.2

This paper describes a pressure-model-based coordinated control method of a variable geometry turbine (VGT) and dual-loop exhaust gas recirculation (EGR) in a diesel engine air-path system. Conventionally, air fraction or burnt gas fraction states are controlled for the control of dual-loop EGR systems, but fraction control is not practical since sensors for fractions are not available on production engines. In fact, there is still great controversy over how best to select control outputs for dual-loop EGR systems. In this paper, pressure and mass flow states are chosen as control outputs without fraction states considering the availability and reliability of sensors. A coordinated controller based on the simple control-oriented model is designed with practical aspects, which is applicable for simultaneous operations of high pressure (HP) EGR, low pressure (LP) EGR, and VGT. In addition, the controller adopts the method of input-output linearization using back-stepping to solve the chronic problems of conventional pressure-based controllers such as coupling effects between operations of HP EGR, and VGT. The control performance is verified by simulation based on the proven GT-POWER model of a heavy-duty 6000cc diesel engine air-path.