Robust Motion Control for Tracking Time-Varying Reference Signals and Its Application to a Camless Engine Valve Actuator

Yoon, Yongsoon; Sun, Zongxuan

doi:10.1109/tie.2016.2542781

Cited by 19 publications

(8 citation statements)

References 29 publications

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“…In addition to research on system design, research on control techniques for application to camless engines has been conducted [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ]. In [ 8 ], motion control methods of a camless engine valve actuation system during both steady state and transient engine operation are proposed.…”

Section: Introductionmentioning

confidence: 99%

“…A model-based predictive control method has been developed for exhaust electro-pneumatic valve actuators to overcome variable in-cylinder pressure force [ 11 ]. Control study for tracking time-varying reference signals and its application to an electro-hydraulic/electro-mechanical type camless engine valve actuator has been done [ 13 , 14 , 15 ]. In general, the reference engine valve motion is time-varying since its frequency contents change with the engine speed.…”

Section: Introductionmentioning

confidence: 99%

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Design and Performance Evaluation of an Electro-Hydraulic Camless Engine Valve Actuator for Future Vehicle Applications

Nam

Cho

Park

et al. 2017

Sensors

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This paper details the new design and dynamic simulation of an electro-hydraulic camless engine valve actuator (EH-CEVA) and experimental verification with lift position sensors. In general, camless engine technologies have been known for improving fuel efficiency, enhancing power output, and reducing emissions of internal combustion engines. Electro-hydraulic valve actuators are used to eliminate the camshaft of an existing internal combustion engines and used to control the valve timing and valve duration independently. This paper presents novel electro-hydraulic actuator design, dynamic simulations, and analysis based on design specifications required to satisfy the operation performances. An EH-CEVA has initially been designed and modeled by means of a powerful hydraulic simulation software, AMESim, which is useful for the dynamic simulations and analysis of hydraulic systems. Fundamental functions and performances of the EH-CEVA have been validated through comparisons with experimental results obtained in a prototype test bench.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Performance Evaluation of an Electro-Hydraulic Camless Engine Valve Actuator for Future Vehicle Applications

Nam

Cho

Park

et al. 2017

Sensors

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“…Taking also into account that the computation time for feedback linearization or control signal generation by the inverse model or MPC techniques is non-negligible, these simplified hypotheses make the above mentioned techniques not always reliable (see [4][5][6]8,10,14,15,20,[23][24][25]29,31,33,37,40,41]. In some cases, the control system can even be unstable, as can be verified with simple examples (see also Appendix A).…”

Section: Introductionmentioning

confidence: 99%

“…Finally, it is included an appendix in which six easy examples are provided. The first five ones clearly show how numerous control techniques available in the literature (e.g., [10,14,15,20,[23][24][25]29,31,33,[41][42][43] and the references therein) for significant classes of linear and nonlinear systems can produce unstable control system or can significantly reduce the performance of the control system, under the following realistic hypotheses: parametric uncertainties, real actuators, measurement noise, finite online computation time of the control signal.…”

Section: Introductionmentioning

confidence: 99%

A Unified Approach to Design Robust Controllers for Nonlinear Uncertain Engineering Systems

Celentano¹

2018

Applied Sciences

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Featured Application: Design and realization of robust, simple and effective controllers, mainly for the transportation and manufacturing systems.Abstract: This paper presents new theorems, which allow to design in a unified way robust proportional-derivative (PD)-type control laws without chattering for a broad class of uncertain nonlinear multi-input multi-output (MIMO) systems, subject to bounded disturbances and noises, of great theoretical and engineering relevance. These controllers are used to track a reference signal with bounded second derivative with the tracking error norm smaller than a prescribed value. The proposed control laws are simple to design and implement, above all for robotic systems, both in the case of a trajectory assigned in the joint space and in the workspace. The obtained theoretical results can have numerous applications. In this paper four significant applications are provided. The first one concerns the solution of a nonlinear equations system or the determination of an equilibrium point of a nonlinear system. The second case study deals with the inversion of a nonlinear vectorial function or the kinematic inversion of a robot. The third application concerns: (A) the tracking control of a robot with parametric uncertainties, with and without measurement noise on velocity, both in the joint space and the workspace; (B) the impedance control of a robot interacting with a human operator. The fourth case study addresses the tracking control of an uncertain nonlinear system that does not belong to the class of mechanical systems. Finally, an appendix is included, providing six easy examples, which show how the results proposed in the paper can eliminate and/or reduce serious disadvantages existing in the robust control literature for significant classes of linear and nonlinear uncertain systems.Keywords: general robust tracking control method; design of robust proportional-derivative-type controller; practical robust stability; robust control of mechanical uncertain systems; impedance control of a robot

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“…Researchers have attempted different designs for the electrohydraulic actuators to achieve the best engine performance. Application of a robust motion control technique to an electrohydraulic camless engine valve actuator was presented in [9]. The research of [10] deals with a signal-based robust adaptive approximation technique for a proportional derivative (PD) regulator which is applied to an electromagnetic valve actuator control for camless internal combustion engines.…”

Section: Introductionmentioning

confidence: 99%

Control of 12-Cylinder Camless Engine with Neural Networks

Ashhab

2017

MATEC Web Conf.

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Abstract. The 12-cyliner camless engine breathing process is modeled with artificial neural networks (ANN's). The inputs to the net are the intake valve lift (IVL) and intake valve closing timing (IVC) whereas the output of the net is the cylinder air charge (CAC). The ANN is trained with data collected from an engine simulation model which is based on thermodynamics principles and calibrated against real engine data. A method for adapting single-output feed-forward neural networks is proposed and applied to the camless engine ANN model. As a consequence the overall 12-cyliner camless engine feedback controller is upgraded and the necessary changes are implemented in order to contain the adaptive neural network with the objective of tracking the cylinder air charge (driver's torque demand) while minimizing the pumping losses (increasing engine efficiency). All the needed measurements are extracted only from the two conventional and inexpensive sensors, namely, the mass air flow through the throttle body (MAF) and the intake manifold absolute pressure (MAP) sensors. The feedback controller's capability is demonstrated through computer simulation.

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Robust Motion Control for Tracking Time-Varying Reference Signals and Its Application to a Camless Engine Valve Actuator

Cited by 19 publications

References 29 publications

Design and Performance Evaluation of an Electro-Hydraulic Camless Engine Valve Actuator for Future Vehicle Applications

Design and Performance Evaluation of an Electro-Hydraulic Camless Engine Valve Actuator for Future Vehicle Applications

A Unified Approach to Design Robust Controllers for Nonlinear Uncertain Engineering Systems

Control of 12-Cylinder Camless Engine with Neural Networks

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