Mechatronic Systems Design

Janschek, Klaus

doi:10.1007/978-3-642-17531-2

Cited by 58 publications

(32 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fig. 5 shows a typical development process of automotive mechatronics systems according to the V-model [6,7], which represents a special case of a waterfall model that describes sequential steps of product development [8,9].…”

Section: Automotive Development Processes and Integration Of Propulsimentioning

confidence: 99%

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

2019

View full text Add to dashboard Cite

Electric drive systems consisting of battery, inverter, electric motor and gearbox are applied in hybridor purely electric vehicles. The layout process of such propulsion systems is performed on system level under consideration of various component properties and their interfering characteristics. In addition, different boundary conditions are taken under account, e. g. performance, efficiency, packaging, costs. In this way, the development process of the power train involves a broad range of influencing parameters and periphery conditions and thus represents a multi-dimensional optimization problem. Stateof-the-art development processes of mechatronic systems are usually executed according to the V-model, which represents a fundamental basis for handling the complex interactions of the different disciplines involved. In addition, stage-gate processes and spiral models are applied to deal with the high level of complexity during conception, design and testing. Involving a large number of technical and economic factors, these sequential, recursive processes may lead to suboptimal solutions since the system design processes do not sufficiently consider the complex relations between the different, partially conflicting domains. In this context, the present publication introduces an integrated multi-objective optimization strategy for the effective conception of electric propulsion systems, which involves a holistic consideration of all components and requirements in a multi-objective manner. The system design synthesis is based on component-specific Pareto-optimal designs to handle performance, efficiency, package and costs for given system requirements. The results are displayed as Pareto-fronts of electric power train system designs variants, from which decision makers are able to choose the best suitable solution. In this way, the presented system design approach for the development of electrically driven axles enables a multi-objective optimization considering efficiency, performance, costs and package. It is capable to reduce development time and to improve overall system quality at the same time.

show abstract

Section: Automotive Development Processes and Integration Of Propulsimentioning

confidence: 99%

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

2019

View full text Add to dashboard Cite

show abstract

“…v out , v CP and i L ) and can not be directly controlled. It exists a so called autonomous switching as hybrid phenomena [14].…”

Section: System Description and Modellingmentioning

confidence: 99%

Model predictive control for the quantum series-parallel LCC-type resonant converter with capacitive output filter

Barth¹,

Weber²,

Bernet³

2014

2014 IEEE 15th Workshop on Control and Modeling for Power Electronics (COMPEL)

View full text Add to dashboard Cite

This paper presents a model predictive control for the quantum series-parallel LCC-type resonant converter. A hybrid model for the converter including the autonomous change of the systems structure by the output rectifier of the converter is derived. By solving the piecewise linear state equations for the possible input voltages, generated by an H-bridge, the change of the output voltage can be calculated. The maximum resonant current and the voltage across the series-resonant capacitor at the next zero crossing of the resonant current can be estimated, too. Simulation results and measurements show the effectiveness of the control algorithm with constrained resonant current and multistep prediction.

show abstract

“…The EPAIA is modelled using the Lagrange formalism applied to electro/mechanic/pneumatic systems [6]. Consider the generalised coordinates , expressed by the column vector with denoting the DOF of the system.…”

Section: System Modellingmentioning

confidence: 99%

Decentralised control of an electro-pneumatic adjustable impedance actuator

Misgeld

Stille

Leonhardt

2014

At - Automatisierungstechnik

View full text Add to dashboard Cite

We present a decentralised controller design for the novel ElectroPneumatic Adjustable Impedance Actuator (EPAIA). EPAIA is designed as a rotational, backdrivable actuator, applying a rotary pneumatic element, used as a pneumatic spring in series to a brushless directcurrent motor in the gear train. The actuator control consists of two coupled loops. Following a squaring down procedure, an impedance controller is presented for the torque loop using an H 2 -optimal controller design employing additional constraints on passivity. The stiffness between motor and load is controlled by a PID-type controller including a decoupling pre-filter. Robust stability is verified by structured singular value analysis and the decentralised control strategy and the actuator are validated in simulations and on a test-bench. Zusammenfassung: Der Beitrag beschreibt den Entwurf eines dezentralen Reglers für einen einstellbaren elektropneumatischen Impedanzaktuator (EPAIA). EPAIA besteht aus einem bürstenlosen Gleichstrommotor und einem pneumatischen Drehantrieb, der sich in Reihe mit dem Antriebsstrang befindet und als pneumatische Torsionsfeder wirkt. Die Regelung des Aktuators besteht aus zwei Regelkreisen. Nach einer Quadrierung der Strecke wird ein Impedanzregler für den Drehmomentenkreis mittels H 2 -Optimierung und einer zusätzlichen Beschrän-kung für Passivität entworfen. Für die Regelung der Steifigkeit zwischen Motor und Last kommt ein Regler vom Typ PID zum Einsatz, der mit einem Führungsgrößenfilter sowie Entkopplungsterm erweitert wird. Die Stabilität der gekoppelten Kreise wird über den strukturierten Singulär-wert verifiziert sowie die Regelungstrategie und der Ak-*Corresponding author: Berno J. E. Misgeld, RWTH Aachen University, tuator in Simulationen und an einem mechanischen Prüf-stand validiert. Schlüsselwörter: Aktuator, Euler-Lagrange Modellierung, Elektropneumatisch, Regelung.

show abstract

Mechatronic Systems Design

Cited by 58 publications

References 0 publications

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

Electric Propulsion Systems Design Supported by Multi-Objective Optimization Strategies

Model predictive control for the quantum series-parallel LCC-type resonant converter with capacitive output filter

Decentralised control of an electro-pneumatic adjustable impedance actuator

Contact Info

Product

Resources

About