Modeling, Component Selection and Optimization of Servo-controlled Automatic Machinery

Meoni, Francesco (2017) Modeling, Component Selection and Optimization of Servo-controlled Automatic Machinery, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Meccanica e scienze avanzate dell'ingegneria, 29 Ciclo. DOI 10.6092/unibo/amsdottorato/8140.
Documenti full-text disponibili:
Documento PDF (English) - Richiede un lettore di PDF come Xpdf o Adobe Acrobat Reader
Disponibile con Licenza: Creative Commons Attribution Non-commercial No Derivatives (CC BY-NC-ND 3.0) .
Download (10MB) | Anteprima


A servo-controlled automatic machine can perform tasks that involve synchronized actuation of a significant number of servo-axes, namely one degree-of-freedom (DoF) electromechanical actuators. Each servo-axis comprises a servo-motor, a mechanical transmission and an end-effector, and is responsible for generating the desired motion profile and providing the power required to achieve the overall task. The design of a such a machine must involve a detailed study from a mechatronic viewpoint, due to its electric and mechanical nature. The first objective of this thesis is the development of an overarching electromechanical model for a servo-axis. Every loss source is taken into account, be it mechanical or electrical. The mechanical transmission is modeled by means of a sequence of lumped-parameter blocks. The electric model of the motor and the inverter takes into account winding losses, iron losses and controller switching losses. No experimental characterizations are needed to implement the electric model, since the parameters are inferred from the data available in commercial catalogs. With the global model at disposal, a second objective of this work is to perform the optimization analysis, in particular, the selection of the motor-reducer unit. The optimal transmission ratios that minimize several objective functions are found. An optimization process is carried out and repeated for each candidate motor. Then, we present a novel method where the discrete set of available motor is extended to a continuous domain, by fitting manufacturer data. The problem becomes a two-dimensional nonlinear optimization subject to nonlinear constraints, and the solution gives the optimal choice for the motor-reducer system. The presented electromechanical model, along with the implementation of optimization algorithms, forms a complete and powerful simulation tool for servo-controlled automatic machines. The tool allows for determining a wide range of electric and mechanical parameters and the behavior of the system in different operating conditions.

Tipologia del documento
Tesi di dottorato
Meoni, Francesco
Dottorato di ricerca
Settore disciplinare
Settore concorsuale
Parole chiave
servo-motor, servo-axis, electomechanical model, optmization, components selection, optimal selection, motor and reducer pairing, energy efficiency, mechatronics, optimal trasnmission ratio, nonlinear programming, nonlinear optimization, automatic machine, automatic machinery, motor-reducer
Data di discussione
5 Maggio 2017

Altri metadati

Statistica sui download

Gestione del documento: Visualizza la tesi