The speed control during cold start for SI engines is a challenging topic due to the difficulties in handling the dramatic change of the engine dynamics. The SICE Research Committee on Advanced Powertrain Control Theory provides a V6 SI engine model and the benchmark problem of cold start control focusing on the engine speed behavior when the engine model starts. The control design specificatio...

In order to improve the diesel engine performance under plateau (high altitude) conditions, a new Speed Adjustable Compound (SAC) supercharging method is proposed. A simulation model based on a six-cylinder V-type turbocharged intercooler diesel engine is built on the GT-POWER platform, and then simulation-based research is carried out. A genetic algorithm (GA) is used to identify the best oper...

This paper presents a segmentation algorithm of a Time-Frequency Representation, which automatically selects time-frequency patterns containing signal of interest. Considering a deterministic non-stationary signal embedded in a white Gaussian noise, we know that the real and imaginary parts of the Short Time Fourier Transform coefficients (STFT) have a Gaussian distribution. We already proposed...

using instrumented tractors to monitor and record spatial variations in performance parameters of tractor and implements during field operations, could improve productivity and the tractor efficiency. in the context of precision farming, this information can be used to map spatial variability of the parameters and to find the relations with changes in soil attributes (texture, moisture contents...

Neural network architectures are proposed to model and control the Spark-Ignition (SI) engine idle speed. Static and dynamic multi-layer neural networks are used to develop plant models and plant inverse function models. A neural network is trained to learn the system’s input-output relationship. Another is trained to model the inverse relationship of the plant and is included in the controller...