Adaptive control of diesel engine-dynamometer systems

Increased efficiency and quality of the diesel engine testing process in automated test cells may be achieved by using improved control algorithms. Researchers and engineers have recognized that the nonlinear, strongly coupled engine-dynamometer plants can be more successfully controlled by applying multivariable techniques rather than using independent PID controllers. However, the existing solutions are not applicable to a multitude of testing scenarios thus justifying further efforts. The paper presents an application of a model referenced adaptive control (MRAC) approach to the engine speed and torque control problem. The parameters update law is derived using Lyapunov stability theory. Simulation with realistic engine and dynamometer models is performed