Title :
Adaptive Control of a Pneumatic Valve Actuator for an Internal Combustion Engine
Author :
Ma, Jia ; Zhu, Guoming ; Schock, Harold ; Winkelman, Jim
Author_Institution :
Michigan State Univ., Okemos
Abstract :
Electro-pneumatic valve actuators are used to eliminate the cam shaft of a traditional internal combustion engine. They are used to control the opening timing, duration, and lift of both intake and exhaust valves. A control oriented model was developed to reduce computational throughput for real-time implementation. The developed control oriented model was validated by experimental data. An adaptive valve lift control strategy was developed to improve lift repeatability. A model reference adaptive system identification technique was employed to calculate system parameters needed for generating closed-loop control signals. The convergence of the derived adaptive parameter identification algorithm was verified using the valve test bench data. The bench test data covers engine speed from 1200 rpm and 5000 rpm. Parameter identification convergence was achieved within 40 cycles. Error between the model and plant outputs were converged to given tolerances. Finally, a closed-loop control strategy was developed and validated in simulation.
Keywords :
camshafts; closed loop systems; electric actuators; electropneumatic control equipment; internal combustion engines; model reference adaptive control systems; parameter estimation; pneumatic actuators; valves; adaptive control; adaptive parameter identification algorithm; cam shaft; closed-loop control; electropneumatic valve actuators; exhaust valves; intake valve; internal combustion engine; lift repeatability; model reference adaptive system identification technique; parameter identification convergence; valve lift control; Adaptive control; Convergence; Internal combustion engines; Parameter estimation; Pneumatic actuators; Programmable control; Shafts; Testing; Timing; Valves;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282267