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Due to the nonlinear time-varying nature of the spark-ignition engine, an adaptive multi-input single-output (MISO) controller based on self-tuning regulator (STR) is proposed for idle speed control in this paper. The spark timing and idle air control are simultaneously employed as control inputs for maintaining the desired idle speed, and are designed based on P and PI type STR, respectively. The Recursive Least Square technique is employed to identify the engine as a first-order MISO linear model. Pole placement technique is then used to design the adaptive MISO controller. Performances of the proposed algorithm are evaluated using a nonlinear engine model in Matlab/Simulink. The system parameters with 10% uncertainties are also utilized to perform the associated robustness analysis. Preliminary simulation results show significant reduction of speed deviations under the presence of torque disturbances and model uncertainties.

For a conventional scooter engine, not only the crankshaft position estimation is insufficient based on the one-tooth crankshaft wheel, but also the speed measurement might be contaminated by sensor noise easily. The authors propose a technique using Kalman filter to estimate crankshaft position and engine speed for digital ignition control of a scooter engine. A 125cc engine model, which is verified by the experimental data of the target engine, will be used to design the Kalman filter. A simulation model, which consists of nonlinear engine dynamics, powertrain dynamics, tire dynamics, and pitch plane dynamics, is used to evaluate the performance of proposed estimation algorithm with different tooth numbers of crankshaft wheel and various noise conditions.

This paper presents the application of rapid prototyping electronic control unit (ECU) to fuel injection and ignition control of electronic fuel injection motorcycle engine by using Model-Based environment. As a scene on state of the art, it is famous accepted that the MATLAB Model-Based environment is an efficient development platform for engine management systems (EMS). These come from several benefits: (1) System level design environment, (2) Real-time simulation, and (3) Model to chip technology during rapid prototyping ECU development process. Therefore, this research uses these advantages to study the rapid prototyping controller (RPC) of a SI engine for decreasing time and cost requirements of development process. The target vehicle is a scooter with a four-stroke 125 cc. single cylinder engine.