Optimal Design of Motor and Gear Ratio in Mechatronic Systems

Roos, Fredrik; Johansson, Hans; Wikander, Jan

doi:10.1016/s1474-6670(17)31108-4

Cited by 3 publications

(9 citation statements)

References 4 publications

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“…The physical design constraints of the two DC motors are adopted from scaling approaches presented by Roos et al, 22,23 which specify the relationship between the rated torque and the actual RMS torque as in (17): where T m , r a t e d and T r m s are the rated torque, and the RMS torque, respectively. The rated torque is derived based on the mechanical, magnetic and thermal effects 22 : where C m is a motor type constant for the same cooling conditions, l m is the motor’s rotor length and r m is the radius of the stator.…”

Section: Case Studymentioning

confidence: 99%

Towards a formal framework for integrated design-optimization and control of mechatronicsystems

Rahimi

2021

Science Progress

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This paper presents work towards a formal framework to support model-based integrated design and optimization of mechatronic products for early-phase conceptual design. This paper describes an integrated design framework through the introduction of its software implementation and a specific use case. The contribution is to introduce mathematical formalism to define the concepts, semantics, computation rules and system architectures of the formal framework. The advantage of the formal definitions is to clearly expose functionality and the limitations of the design framework and facilitate the software implementation. The modelling capability of the framework is enhanced to include non-linear mechatronic components, such as a two degrees-of-freedom arm. Further, an optimal proportional–integral–derivative control component is added to the software library supporting the framework.

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Section: Case Studymentioning

confidence: 99%

Towards a formal framework for integrated design-optimization and control of mechatronicsystems

Rahimi

2021

Science Progress

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“…The physical constraints for the DC-motor is adopted from scaling approaches presented in [19] and [20] which specify the relationship between the rated torque, T m,rated (based on manufacturer data), and the actual root mean square torque, T rms , as in (24). The rated torque is derived based on the mechanical, magnetic and thermal effects.…”

Section: Optimization 1) Optimization Objectivementioning

confidence: 99%

Concurrent and Optimal Structure, Control and Implementation Design

Rahimi

Wikander

2020

2020 IEEE 11th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)

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Mechatronic system design includes a combination of different engineering disciplines. A common approach in design of mechatronic systems is based on a sequential method, where different disciplines are treated and designed separately. This paper extends earlier work on integrated physical and control design optimization with integrating an additional aspect of the corresponding embedded control system implementation. Our previous publications describe integrated design optimization through a few specific use cases but the impact of embedded control implementation on the structural design of the systems is neglected. In this paper, the approach is extended to cover discussions on control implementation and its effect on the physical dimensioning and vice versa. A multi-objective optimization approach is implemented and tested on a mechatronic system case study consisting of a DC-motor, a planetary gear, a flexible shaft, an embedded controller and a load. The couplings between the properties of different engineering domains are studied and highlighted. The presented approach which is aimed for early phases of design, considers the integration of three engineering disciplines in one design framework which so far has been missing.

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“…This means that the torque calculations have to be made for all candidate motors and gear ratios. The calculations can however be simplified in the RMS case (6), by separating the load from the motor parameters as follows [8]:…”

Section: Load and Motor Torquesmentioning

confidence: 99%

“…Derive the required RMS-torque as function of gear ratio (1 À n max ), for all of the candidate motors (8). Then find the range of feasible gear ratios by comparing the required RMS torque with each motorÕs continuous torque rating.…”

Section: Feasible Motors and Gear Ratios (C)mentioning

confidence: 99%