State estimation, diagnosis and control using equivalent time sampling

A state estimation, diagnosis and control system for a machine, said system comprising:

• one or more sensors for acquiring low-sampling-rate data from the machine in operation;
• and
• a controller in communication with the sensors and the machine, said controller including a microprocessor configured with an algorithm including:
• an Equivalent Time Sampling (ETS) module for using the low-sampling-rate data from the sensors to construct high-sampling-rate data;
• a system model for simulating performance of the machine using the high-sampling-rate data constructed via ETS as input;
• an estimator module for characterizing the performance of the machine using output of the system model and the high-sampling-rate data, including comparing the high-sampling-rate data to the output of the system model;
• and
• an applications module for monitoring and configuring operation of the machine based on output of the estimator module.

A method for state estimation, diagnosis and control of an engine in an automobile, said method comprising:

• acquiring low-sampling-rate cylinder pressure data from the engine;
• applying, using a microprocessor, Equivalent Time Sampling (ETS) to the low-sampling-rate cylinder pressure data to construct high-sampling-rate cylinder pressure data;
• using the high-sampling-rate cylinder pressure data constructed via ETS in a system model to simulate performance of the engine;
• characterizing performance of the engine using numerical estimators applied to the high-sampling-rate cylinder pressure data and output from the system model, including comparing the high-sampling-rate cylinder pressure data to the output from the system model, where characterizing performance of the engine includes characterizing air intake, fuel delivery, combustion and exhaust in the engine;
• and
• using output from the numerical estimators for monitoring and configuring operation of the engine.