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Due to the current constraint of linear induction machine (LIM) and voltage constraint of inverter, the output thrust of LIM is limited. So, in order to make LIM output thrust as large as possible within current and voltage limit, firstly, the maximum thrust per ampere (MTPA) is used to achieve maximum thrust with limited current in low speed. Secondly, with the speed of LIM increasing, the voltage...
The efficiency optimization control (EOC) in steady state optimizes the flux to improve the efficiency of linear induction machine (LIM). However, it is inefficient in dynamic operations, in which the aforementioned flux solution no longer satisfies the change of thrust, thus the efficiency is deteriorated. In this paper, LIM losses including both copper and core losses during thrust transient are...
Pitch correction with preservation of voice timbre has been a challenging issue that hinders the development of music related applications. To address this problem, we propose a spectral modeling synthesis (SMS) based automatic pitch correction system for singing voice. When obtaining one candidate singing voice, we firstly conduct pitch detection with voiced/unvoiced decision, and extracts the pitch...
A fuzzy decoupling technique is proposed for model validation of large-scale power systems. To solve the problem of incredibility lying in power system dynamic simulations, a wide area pattern (WAP) is defined which reflects the parameter effects of certain component to the space-time trajectories, especially with consideration of the characteristics of huge amount of measurements and model parameters...
This paper presents time optimal torque control in overmodulation and switching level loss minimization control of an induction machine (IM) and an interior permanent magnet synchronous machine (IPMSM) via deadbeat, direct torque and flux control (DB-DTFC). Using DB-DTFC, the stator flux linkage can be manipulated each PWM cycle to minimize losses during normal operation. Due to voltage limits during...
This paper investigates the system design of a 7-DOFs Anthropomorphic arm robot for fast dynamic interaction task, taking the ping-pong rally task against human as an example. The robot system includes the arm mechanism, real-time stereo vision sub-system, ball trajectory prediction, racket motion trajectory planning, and distributed joint controllers. The algorithms for ball identification, ball...
An improved ZMP (Zero Moment Point) trajectory for a biped robot is designed in this paper, which imitates a human's actual ZMP trajectory in the walking process. A new method of walking pattern generation based on forward moving ZMP in SSP (Single Support Phase) is also provided. It can keep the ZMP moving forward instead of staying in the center of supporting region during SSP, which is helpful...
A waist joint is designed for a humanoid robot in this paper, which has the characteristics of a large range of motion and high mechanical strength. A new method of balance control based on waist joints is also provided. It can effectively increase the stability margin during single support phase. We have been developing BHR, which has 38 DOF (degree of freedom). Each arm of BHR has 11 DOF in total...
In video surveillance scenarios, appearances of both human and their nearby scenes may experience large variations due to scale and view angle changes, partial occlusions, or interactions of a crowd. These challenges may weaken the effectiveness of a dedicated target observation model even based on multiple cues, which demands for an agile framework to adjust target observation models dynamically...
When a humanoid robot moves in an actual working environment, it is necessary for the robot to generate appropriate locomotion trajectory in real-time to ensure its stability. But it is difficult to solve nonlinear differential equations of stability constraints in real-time to get stable locomotion trajectory. This paper proposed a method to generate stable and smooth locomotion trajectory through...
This paper proposes a general framework to detect unsafe states of a system whose basic realtime parameters are captured by multi-sensors. Our approach is to learn a danger level function which can be used to alert the users in advance of dangerous situations. The main challenge to this learning problem is the labelling issue, i.e., it is difficult to assign an objective danger level at each time...
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