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 EPE 2003 - Topic 06f: Modelling and Simulation 
 You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2003 - Conference > EPE 2003 - Topic 06: MOTION CONTROL AND ROBOTICS > EPE 2003 - Topic 06f: Modelling and Simulation 
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   Optimal design of electric engineering systems using Pareto Genetic Algorithms 
 By J. Régnier; B. Sareni; X. Roboam; S. Astier 
Abstract: This paper presents a Pareto Genetic Algorithm for multiobjective optimisation in electrical engineering design. Through a simple electromechanical system, based on an inverter–permanent magnet motor–reducer–load association described by analytical models. We have chosen a rather simplified case study, to emphasise advantages of this approach for optimisation issues as well as a better understanding of system couplings.

 
   A study of humanoid weight balance design - Optimazation of battery location by considering walking energy consumption 
 By Y. Tanaka; H. Minakata; S. Tadakuma 
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Abstract: This paper describes about a study of humanoid robot weight balance design. The location of heavy elements on the robot such as electric motors and batteries affect the mobility, stability, and energy consumption of the robot. A several types of battery location of the robot has evaluated about walking energy consumption by using humanoid robot simulator, numerical simulation and confirmed with actual experimental system.

 
   Integrated control and circuit simulation for a motion control system 
 By P. Korondi; P. Bauer; P.J. van Duijsen 
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Abstract: In this paper the modelling of motion control system with Variable Structure System (VSS) theory using Matlab/Simulink and Caspoc is elaborated. The control is modeled in Simulink, while the power converter is modeled in Caspoc. This has advantages on both sides. Powerful toolboxes existing for Simulink can be used and the power electronics can be modeled in detail in the dedicated power electronics and drives simulation program Caspoc. The main contribution of this paper is the introduction of a powerful simulation tool, which can help in the keystep of most sliding mode designs, namely in the chattering free implementation. This approach and advantages of it are demonstrated on the motion control system. Experimental results of a DSP-controlled single-degree-of- freedom motion-control system are presented and compared with the simulation.