Title :
Approach control of an electromechanical valve actuator using closed-loop iterative learning control
Author :
Samadi, M.F. ; Saif, M.
Author_Institution :
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Abstract :
Electromechanical valves (EMV) are a promising alternative to camshafts in internal combustion (IC) engines. This paper is mainly concerned with the control of EMVs to achieve a soft landing. Due to the nature of the process, control of the valve is normally accomplished in two phase. This paper addresses the control problem over the first phase, namely “the approach control”, where the control authority over the system is very low. Repetitiveness of the process and low control authority suggest iterative learning control (ILC) as an appealing solution. An ILC law that exploits the benefits of both feedforward and feedback approaches is proposed for this problem. Also, an iterative method for characterization and generation of the desired trajectory is provided. The effectiveness of the proposed approach controller is demonstrated through simulation studies.
Keywords :
closed loop systems; electromechanical actuators; feedback; feedforward; internal combustion engines; iterative methods; learning systems; trajectory control; valves; EMV control; ILC law; approach control; camshafts; closed-loop iterative learning control; control authority; electromechanical valve actuator; feedback approach; feedforward approach; internal combustion engine; process repetitiveness; soft landing; trajectory generation; valve control; valve process; Actuators; Coils; Engines; Feedforward neural networks; Spline; Trajectory; Valves;
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2011.6161223