Jan Peter Blath

Self-tuning control design strategy for an electronic throttle with experimental robustness analysis

In this paper a self-tuning control design strategy for the electronic throttle is introduced. The proposed control design consists of a modified PID controller and an additional nonlinear controller that helps to compensate the nonlinearities of the plant. The control parameters are calculated automatically using an appropriate process identification algorithm. The efficiency of the proposed control design strategy is shown by experimental results. In a next step the performance loss due to aging effects is analyzed. Finally, the robustness properties with regards to environmental influences are investigated.

Multiple sliding surface control of idle engine speed and torque reserve with load torque estimation

A novel controller based on multiple sliding surface control is adopted to automotive engine control at idle condition. The control task is to maintain the engine speed and the torque reserve at their reference values despite parameter uncertainties and variations in the intake-to-torque-production delay. Additionally, a disturbance estimator is applied to reconstruct unknown load torque disturbances based on measurements of the engine speed. A validated nonlinear simulation model is used to evaluate the performance of the closed-loop system and it is shown that the system is robust with respect to the mentioned uncertainties and disturbances.

Control of idle engine speed and torque reserve with higher order sliding modes

In this paper a novel framework for idle speed control of a spark ignition engine is introduced. The control task is to maintain the engine speed and the torque reserve at their reference values while the clutch is open. For this purpose a robust control design is proposed using sliding mode theory. It will be shown that this framework is robust against external load torque disturbances, parameter uncertainties and variations in the intake-to-torque-production delay leading to significant changes in the operating conditions of the engine. The performance and the robustness properties of the closedloop system are demonstrated by nonlinear simulation and experimental results.

Multiple Sliding Surface Control of Idle Engine Speed and Torque Reserve With Dead Start Assist Control

The subject of this paper is a multiple sliding surface controller that is adopted to automotive engine control at idle condition. The control task is to hold the engine speed and the torque reserve at their reference values despite parameter uncertainties, variations in the intake-to-torque-production delay, or even in the case of external load torque disturbances. Additionally, the dead start of the vehicle is intensively studied and an appropriate extension of the controller with an internal switching law is developed. A validated nonlinear simulation model is used to evaluate the performance and the robustness of the closed-loop system. Furthermore, experimental results show the effectiveness of the proposed control design.

Nonlinear torque control of a spark-ignited engine

A nonlinear state space controller for the optimal torque of a spark-ignited engine is proposed. The controller design is based on feedback linearization in combination with pole placement. The resulting controller basically compensates the intake manifold filling dynamics and thus improves tracking performance of torque demand changes generated by the driver. A nearly uniform tracking response is achieved for the significantly nonlinear engine plant. The controller is implemented on a rapid prototyping platform, experimental results are presented

Application of modern techniques to SI-engine torque control

This contribution investigates the application of three modern design techniques to the torque control problem of a spark-ignited direct injection engine. The system to be controlled is a highly nonlinear system characterized mainly by the intake manifold dynamics. The first scheme applies feedack linearization in order to achieve a linear and uniform system behaviour over the whole range of operation. The second approach, nonlinear model predictive control, optimizes the control law over a finite time horizon taking the input and state constraints into account during optimization. The third approach is a gain-scheduled LQ-optimal control scheme based on the state-space description of the system. A comparative study of these schemes with the help of computer simulations is presented. The schemes are compared for achieved performance, computational cost, and implemetability on an electronic control unit.

Decoupling control for the speed synchronization task in the powertrain of a hybrid electric vehicle

In this paper a novel framework for a multivariable control design task in the field of hybrid electric vehicles is introduced. The problem under consideration consists of a speed synchronization task of two propulsion aggregates using a controllable separation clutch. During this synchronization period the longitudinal vehicle motion of the vehicle should not be affected. The proposed control strategy is based on a decoupling network and two optimized controllers. The performance and robustness properties of the closed-loop system are shown by nonlinear simulation results.

Improved Performance for the Synchronization of the Angular Velocity in Hybrid Electric Vehicles using a Feedforward Strategy

Abstract In this paper a multivariable control design task in the field of parallel hybrid electric vehicles is discussed. The control design covers the speed synchronization of two propulsion aggregates using a controllable separation clutch. During the synchronization period the longitudinal vehicle motion of the vehicle should not be affected. The proposed control strategy is based on a feedforward controller and two decoupled feedback controllers. The performance and robustness properties of the closed-loop system are shown by nonlinear simulation results.