Design and Implementation of Position Estimator Algorithm on Voice Coil Motor

Voice Coil Motors (VCMs) have been an inevitable element in the mechanisms that have been used for precise positioning in the applications like 3D printing., micro-stereolithography., etc. These voice coil motors translate in a linear direction and require a high accuracy position sensor that amounts for a major part in the budget. In this research work., an effort has been made to design and implement an algorithm that would predict the displacement of VCM and eliminate the need of high cost sensors. VCM was integrated with dSPACE DS1104 R&D controller via linear current amplifier (LCAM) which acts as a driver circuit for VCM. Sine input was given to VCM with various amplitude and frequency and the corresponding displacement is measured by using linear variable differential transformer (LVDT). The position estimator algorithm is also implemented at the same time on VCM and its output is compared with that of LVDT. It is observed that there is 97.8 % accuracy in between algorithm output and LVDT output. Further., PID controller is used in integration with the novel algorithm to minimize the error. The estimator algorithm is tested for various amplitudes and frequencies and it is found that it has a very good agreement of 99.2% with the actual displacement measured with the help of LVDT

THE STUDY OF RIVER EXTRACTION TECHNIQUES AND METHODS USING REMOTE SENSING

In this paper, Methods and technology of river Extraction are studied. First DEM with K means, Hill Climbing, and Thresholding. Then different technics like NDWI, pixel-based (supervised and unsupervised) classification and object-based classification. Then a new water body extraction model was developed using the advantages of the OBIA and the NDWI. The need for this kind of method comes from the fact that it is hard for pixel-based classification methods and th NDWI method to separate water from another object that has a low albedo, and since it is impossible to separate them by their spectral differences, we have decided to include the NDWI within the object-based method

The Study Of River Extraction Techniques And Methods Using Remote Sensing

In this paper, Methods and technology of river Extraction are studied. First DEM with K means, Hill Climbing, and Thresholding. Then different technics like NDWI, pixel-based (supervised and unsupervised) classification and object-based classification. Then a new water body extraction model was developed using the advantages of the OBIA and the NDWI. The need for this kind of method comes from the fact that it is hard for pixel-based classification methods and th NDWI method to separate water from another object that has a low albedo, and since it is impossible to separate them by their spectral differences, we have decided to include the NDWI within the object-based method

Design and Performance Evaluation of Modular Compliant Mechanisms

In this study, modular design for compliant stage using a parallelogram flexure module is proposed. The material of the proposed stages chosen is Aluminium alloy T6-6051 due to excellent phase stability, low internal stresses, low density etc. The stage is driven by a linear electromagnetic actuator i.e. voice coil actuator. The preliminary static structural analysis is used to determine the range of motion, stiffness by considering stress limitations. FEA results show a maximum range of motion up to 30mm without exceeding stress limit of 275 Mpa. The proposed mechanisms provide low stiffness in the degree of freedom directions and provide large stiffness in the degree of constraint direction.so it is adequately constrained. The stage provides high precision and repeatability with an increased range of motion, minimal parasitic motions (i.e.150 microns) and limited cross axes coupling

Towards Applicability of Machine Learning in Quality Control – a Review

Quality control is one of the tasks involved in the industry that needs reform in the technological field by the use of machine learning. Machine learning will aid in the reduction of human effort and the improvement of product quality. As an emerging field, machine learning can provide a suitable solution for fast and reliable information for quality determination through the use of various algorithms such as neural networks. It improves the efficiency of the machining operations. With the coming of new providers of the internet of things and machine learning technologies, there has been a move from classical approaches of data acquisition to machine learning-based data acquisition methods. This review paper provides information about using ML-based techniques in the quality determination of the products and provides various algorithms that can be used in manufacturing.</jats:p

Evaluation of Stiffness and Parametric Modelling of XY Flexure Mechanism for Precision Applications

In miniaturized scale electro-mechanical framework (MEMS) flexural instruments are generally utilized in light of their preferences, frictionless and wear less movement and high accuracy. Flexures rely upon material versatility for their usefulness. In flexure component, movement is created because of flexibility of the shaft from which it is made. One of the run of the mill favorable circumstances of flexural system is to increase exact twisting and adaptability to acquire movement wanted way. This paper manages outline, examination and displaying of XY flexure instrument which depends on twofold parallelogram flexure (DFM). The XY system exhibited has solid structure and it depends on twofold parallelogram flexure. Limited component model and investigation is completed in ANSYS 15. Static examination is done to discover constrain avoidance attributes of instrument. Parametric examination is utilized to improve outline parameters of flexure shaft. Limited component examination (FEA) result approves investigative outcomes of component