Detecting the state of conveyer belt is important in process such as coal mine. An algorithm based on PFT (Phase Fourier Transform) is used to recognize X-ray steel rope cord conveyer belt image with defect in this paper. Firstly, the algorithm based on PFT is introduced. Then, the algorithm is emulated to detect recognition of X-ray steel cord conveyer belt image in MATLAB. The results show that x-ray steel rope cord conveyer belt image with defect can be identified by the algorithm based on PFT.
This paper presents a speed controller for an interior permanent magnet synchronous motor (IPMSM) based on adaptive backstepping method. IPMSM speed is acquired through extended-EMF method, which is simple to achieve and has a good dynamic performance. A novel nonlinear control strategy, backstepping, is used to design speed tracking and current controllers. The system can achieve fast speed tracking and torque response. The paper gives the proof of system stabilization. Matlab simulating results confirm the veracity of the proposed approach.
With the development of science and technology, Control Theory has been updating and progressing constantly. Motion Control Technology is continually going into all fields and in which it is pushed forward rapidly. It is playing a more and more important role and has found an increasingly wide utilization in the textile production. This paper expounds Motion Control Theory and its application, as well as some living examples of the application of Motion Control Technology to the textile production.
This paper presents a new predictive artificial potential field approach for robot soccer path planning under complex and uncertain environment. By predicting and analyzing the future position and attitude of concerned object, the position and attitude of the object is controlled by demonstration algorithm. The proposed method is successfully used in the robor soccer shooting and is realized on the MiroSot 3vs3 simulating platform. Experiment results show that this algorithm has good real-time ability and adaptability to environment.
The sphygmus is the external reflection of many important information such as the conditions of heart and blood vessels, and the sphygmus wave contains rich physiological information as well, so extracting the pulse information accurately is of great medical significance. In this paper, a sphygmus sensor based on FBG is designed and the description of the production process is given. The sphygmus sensor can overcome some shortcomings of piezoelectric sensors, such as electromagnetic interference, and it also can be weaved into the clothes, laying the groundwork for using FBG to monitor the sound of heart in smart clothing. The experiment shows that the sphygmus sensor can accurately collect the pulse signals and the pulse wave, and the experiment error is less than 1 times/min.
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