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This paper presents the development of a transmission closed loop pressure control system. The objective of this system is to improve transmission pressure control accuracy by employing closed-loop technology. The control system design includes both feed forward and feedback control. The feed forward control algorithm continuously learns solenoid P-I characteristics. The closed loop feedback control has a conventional PID control with multi-level gain selections for each control channel, as well as different operating points. To further improve the system performance, Robust Optimization is carried out to determine the optimal set of control parameters and controller hardware design factors. The optimized design is verified via an L18 experiment on spin dynamometer. The design is also tested on vehicle.

Advanced development engines are one-of-a-kind and expensive and generally have few, if any, spare parts available. These engines are particularly vulnerable to damage during control and calibration development due to unintended control actions from newly-generated algorithms, errant operator control commands, or lack of understanding of control limits for safe operation. Engine damage can result in significant program delays and expenses. Delphi is developing control systems and calibrations for the vehicle implementation of an experimental engine concept which incorporates a new high efficiency combustion process. Many of the algorithms within the control structure are new and untested, and therefore represent significant risk to these engines. The large amount of data displayed on computer test control screens makes human monitoring of all parameters nearly impossible, especially when display windows are layered on top of one another.