Applying Digital MIMO Dynamic Sliding Surface Control to Idle Speed Control of Spark Ignition Engine

The good idle speed control of spark ignition engine makes the customers comfortable and drives smooth. To derive its controller, a control-oriented object based model of spark ignition engine is discussed in this paper. To achieve accuracy tracking and reduce the control effort, a digital MIMO dynamic sliding surface control rule is proposed in this paper. The sliding mode controller will drive the system to tracking the desired response. The existence condition of the discrete sliding mode is expanded to two conditions. The first one is used to keep the sliding motion toward to the sliding surface. The next one is to keep the sliding motion convergent. The dynamic sliding surface will decrease the approaching time. At the same time, the output magnitude of the switching part will be reduced efficiently. Finally, the simulation results will demonstrate the performance of the proposed control rule. The different working conditions will show the robustness of the proposed controller for parameter variation and the external load

KONTROL FUZI PADA WAKTU PENGAPIAN MOTOR OTTO (Fuzzy Logic Control for Spark Advance of Otto Engine)

The problem of detonation (knocking) in the internal c bustion engines, especially in the Otto (petrol) engine, that makes som damages, low fuel economy and performance. The detonation can be cause by many things, such as: high compression ratio, low grade fuel, bad combustion camber, low turbulence, large spark advance (timing). Governor and vacuum control Spark timing in the conventional ignition system. It is reliable mechanism, cannot work properly at all conditions. Most of them make detonation occur at low speed and low endurance of the contact breaker. The last technology, electronical device with detonation sensor, replaces the conventional system. The fuzzy logic control can control the detonation by king correction of the spark advance (ignition timing) automatically in all condition of speed and load (throttle). This control is integration of conventional and electronical system of micro controller

Dynamic control of a SI engine with variable intake valve timing

Engines equipped with a means to actuate air flow at the intake valve can achieve superior fuel economy performance in steady state. This paper shows how modern nonlinear design techniques can be used to control such an engine over a wide range of dynamic conditions. The problem is challenging due to the nonlinearities and delays inherent in the engine model, and the constraint on the air flow actuator. The controller is designed on the basis of a mean-value model, which is derived from a detailed intake stroke model. The control solution has two novel features. Firstly, a recovery scheme for integrator wind-up due to input constraints is directly integrated into the nonlinear control design. The second novel feature is that the control Lyapunov function methodology is applied to a discrete-time model. The performance of the controller is evaluated and compared with a conventionally controlled engine through simulation on the detailed engine model. Copyright © 2003 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/35143/1/721_ftp.pd

In -cylinder combustion -based virtual emissions sensing

The development of a real-time, on-board measurement of exhaust emissions from heavy-duty engines would offer tremendous advantages in on-board diagnostics and engine control. In the absence of suitable measurement hardware, an alternative approach is the development of software-based predictive approaches. This study demonstrates the feasibility of using in-cylinder pressure-based variables as the inputs to predictive neural networks that are then used to predict engine-out exhaust gas emissions. Specifically, a large steady-state engine operation data matrix provides the necessary information for training a successful predictive network while at the same time eliminating errors produced by the dispersive and time-delay effects of the emissions measurement system which includes the exhaust system, the dilution tunnel, and the emissions analyzers. The steady-state training conditions allow for the correlation of time-averaged in-cylinder combustion variables to the engine-out gaseous emissions. A back-propagation neural network is then capable of learning the relationships between these variables and the measured gaseous emissions with the ability to interpolate between steady-state points in the matrix. The networks were then validated using the transient Federal Test Procedure cycle and in-cylinder combustion parameters gathered in real time through the use of an acquisition system based on a digital signal processor. The predictive networks for NOx and CO 2 proved highly successful while those for HC and CO were not as effective. Problems with the HC and CO networks included very low measured levels and validation data that fell beyond the training matrix boundary during transient engine operation

Control de la mezcla aire-combustible y encendido, en un motor de combustión interno, ciclo Otto

Fil: Giner, Gastón Marcos. Universidad Católica de Córdoba. Facultad de Ingeniería; ArgentinaFil: Bulla, Alejandro Oscar. Universidad Católica de Córdoba. Facultad de Ingeniería; Argentin