The optimization of fire robot axle in axle size based on dynamic strength and material cost
The axle of robot always afford complex load in a high dynamic vibration, the statics strength cannot take enough safety factor, and a larger safety factor would waste the material cost. In this paper, a new optimization function which takes consideration to the dynamic strength and material cost is derived. The dynamic strength has been discussed, a dynamic simulation modle based on FEA has also been bulid, the simulation results showed the boundary conditions of the optimization, the relationship between dynamic strength and axle size which was highly nonlinear, was simplized as a approximated sine function. The material cost factor is simplified to the mess of the axle. And all the factors in the optimization plently funtion were normalized, and the 3D graphic of the funtion has been draw, the extremum point of the optimization function, which was the most appropriate sizes of the axle, was found by the Matlab.
The Analysis on Fire Smoke Exhausting Robot Vibration Based on Wavelet Transform
Belt relaxation, which affects a lot on operation reliability of the fire smoke exhausting robot, is hard to detect. In this paper, a new method for belt relaxation feature recognition based on continuous wavelet transform (CWT) is proposed, and a vibration model which simplified the robot as a 2-dof forced vibration system under harmonic excitation is established. The vibration acceleration signal has been collected using the IEPE sensor and data acquisition card, experimental results verified the accuracy of the vibration model, and weak impact signal caused by the belt relaxation was distinguished, that testify the practicability of the CWT method in belt relaxation feature recognition.
SVD-Based Techniques for Zero-Padded Block Transmission Over Fading Channels
In this paper, the performance of filter bank transceivers in the presence of a dispersive time-variant channel is investigated. It is well known that filter bank transceivers can be adapted to the channel transfer function to yield intersymbol interference (ISI) cancellation. When the channel is time variant, several problems arise, since the transceiver should be changed whenever the channel evolves. In this paper, we will allow both the transmitter and the receiver to change and satisfy the interference-free condition, under the assumption of a zero-padded block transmission. In this case, the optimum transmitter-receiver pair can be computed by using a singular value decomposition (SVD) of the channel matrix. A fast receiver adaptation based on SVD tracking is presented. Simulation results show that minimum performance loss with respect to the optimum receiver can be achieved for our reduced complexity receiver