{"title":"An ideal API for RTOS modeling at the system abstraction level","authors":"A. Shaout, K. Mattar, A. Elkateeb","doi":"10.1109/ISMA.2008.4648861","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648861","url":null,"abstract":"In system level design, specification languages, especially system level design languages (SLDL), are used to build high level models to allow fast design space exploration, and to assist designers in exploring alternatives early in the design process. Current SLDL languages lack built-in support for modeling RTOS at the system level, and specific RTOS implementation can not be used directly in models at the system level. In this paper, we define and provide the primitives for an ideal API for a generic RTOS model to be used on top of existing SLDL. The model is based on the key features provided by a typical RTOS, and is generic such that it can be used with any SLDL. Using the API defined in this paper, we describe the refinement of the RTOS model so that the model can be integrated into the system level co-design process.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116885346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Adaptive backstepping control of uncertain Lorenz system","authors":"H. N. Pishkenari, A. Meghdari","doi":"10.1109/ISMA.2008.4648832","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648832","url":null,"abstract":"In this paper, a novel robust adaptive control method is proposed for controlling the well-known Lorenz chaotic attractor. Firstly, we design a new Backstepping controller for controlling the Lorenz system based on the Lyapunov stability theorem. The proposed method is different from the typical Backstepping control method and it can overcome the singularity problem appeared in using the typical Backstepping control method. So by exploiting the property of the system, the resulting controller is singularity free and the closed-loop system is stable globally. Since in practice we have not access to full information of the system states, we set the controller parameters in order to achieve a controller form which only needs to one system state. To overcome the problem of parameter uncertainty we add a term to Lyapunov function and obtain an identification law to have a negative definite Lyapunov function derivative. Simulation results demonstrate the effectiveness of the proposed approaches.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115185707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mechatronics in pharmaceutical engineering: Advanced control to upgrade a tablet coating machine","authors":"M. Alata, B. El-Khasawneh, S. Al-Hourani","doi":"10.1109/ISMA.2008.4648816","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648816","url":null,"abstract":"Maintaining a state of compliance with Current Good Manufacturing Practices (CGMP) remains a challenge for manufacturing automated processes within pharmaceuticals industries. The challenge lies in dealing with integrated control systems and easy, user friendly and reliable monitoring approach that reduces the problem of manufacturing faults, which can lead to cost the organization a lot. This paper presents a mechatronics automated system for upgrading a tablet coating machine in pharmaceutical plant, in order to achieve a powerful control processing system, process monitoring and reporting while concerning in increasing process productivity and quality. The approach used in the mechatronic automated system, to Upgrade the tablets coating machine, based on investing in the power of two, relatively novel, technologies; Programmable Logic Controllers (PLC) and Supervisory Control And Data Acquisition (SCADA). The integration of both technologies provided a real powerful upgraded design that increases the efficiency, reliability and robustness of the control and monitoring process, and reduces time, cost and rework.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122342733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Analytical modeling of permanent magnet excited brushed DC motor for low-cost applications","authors":"D. Ishak, A. Hassan","doi":"10.1109/ISMA.2008.4648865","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648865","url":null,"abstract":"In this paper, we present an analytical modelling of permanent magnet excited brushed DC motor for cost sensitive applications. General solutions to the Laplacian/quasi-Poissonian magnetic field equations are first derived in the motor airgap. Applying the specified boundary conditions, normal and tangential components of flux density in the airgap can be analytically predicted. With distributed windings employed in the armature slots, their flux linkage, induced voltage and motor performance can also be calculated. The proposed analytical model can also be used to parameterize the brushed DC motor for optimal performance such as minimum torque ripple. The proposed model shows very good agreement with the results obtained from FEM. Furthermore, the analytical model compares the calculated results between the 12- slot armature DC motor and 10 -slot armature DC motor.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123216110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improvement of learning rate for RBF neural networks in a helicopter sound identification system introducing two-phase OSD learning method","authors":"G. Montazer, Reza Sabzevari, Fatemeh Ghorbani","doi":"10.1109/ISMA.2008.4648802","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648802","url":null,"abstract":"This paper presents a novel approach in learning algorithms commonly used for training radial basis function neural networks. This approach could be used in applications which need real-time capabilities for retraining RBF neural networks. Proposed method is a two-phase learning algorithm which optimizes the functionality of optimum steepest decent (OSD) learning method. This methodology speeds to attain better performance by initial calculation of centre and width of RBF units. This method has been tested in an audio processing application, a system for identifying helicopters using their sound of rotors. Comparing results obtained by employing different learning strategies shows interesting outcomes as have come in this paper.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimal task-space manipulability of hybrid 4-DOF dual-arm CAM-lock manipulators","authors":"K. G. Osgouie, A. Meghdari, S. Sohrabpour","doi":"10.1109/ISMA.2008.4648809","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648809","url":null,"abstract":"The dual-arm cam-lock robot is a reconfigurable manipulator formed by two parallel cooperative arms. Based on the application, these arms may loose some degrees of freedom by locking into each other. However, they are considered as redundant arms when operating without any locked joints/links. In this paper, a method is introduced to find the optimal configuration of this manipulator. The objective is to find the configuration in which maximum cooperative force is exerted to an object in a specific direction. The dynamics of the robot is parametrically formulated for different configurations, and by considering the geometrical constraints optimization is performed using fine-mesh and genetic algorithm methods.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123994440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The modeling of packet disordering in multi-stage wireless sensor networks","authors":"H. Maalouf","doi":"10.1109/ISMA.2008.4648844","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648844","url":null,"abstract":"Packet disordering is a common problem in many industrial applications where wireless sensor nodes, interconnected with an ad hoc network, are used to monitor a certain event. In such systems, packets will have to be resequenced at the receiving nodes because they would have been disordered while traversing different paths over the ad hoc network. In this paper we investigate analytically and by simulation the disordering and the resequencing delay in n-stage wireless sensor networks where ALOHA and CSMA are implemented as possible MAC protocols. The results we develop in this paper indicate that the disordering is highly dependent on the MAC protocol and the number of stages crossed by the packets.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115838167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On-line identification of induction motors: Experiments and results","authors":"A. Saleem, T. Tutunji, R. Issa","doi":"10.1109/ISMA.2008.4648798","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648798","url":null,"abstract":"Induction motors are widely used in the industry. However, due to their involved mathematical models those depend on difficult to measure parameters such as leakage inductance. Therefore, simplified model approximations are usually used instead. In this paper, a system identification method based on auto regressive moving average (ARMA) models and hardware-in-the-loop (HIL) concept has been employed to identify and predict the behavior of a squirrel cage induction motor. The motor transfer function is identified online using an impulse input. Then, the identified model response is compared to the real system response with different input signals. Results show that the model used follows the real system response with good accuracy.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133558771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of a new copmact optimized T-S fuzzy model to nonlinear system identification","authors":"M. Askari, A. Davaie‐Markazi","doi":"10.1109/ISMA.2008.4648855","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648855","url":null,"abstract":"A new encoding scheme is presented for learning the Takagi-Sugeno (T-S) fuzzy model from data by non-dominated sorting genetic algorithm (NSGAII). The proposed encoding scheme consists of two parts. First part is related to input selection and the second one is related to antecedent structure of T-S fuzzy model (selection of rules, number of rules and parameters of MFs). The main aim of proposed scheme is to reduce both modelpsilas complexity and error. The subtractive clustering method with least square estimator has been used for determining the initial structure of fuzzy model. So the centerpsilas range of influence for each of the data dimensions is considered as an adjustable parameter in order to obtain better clusters. The input structure and centerpsilas ranges of influence are all represented in one chromosome and evolved together through a well-known multi objective optimization method namely NSGAII, such that the optimization of rule structure, input structure, and MF parameters can be achieved simultaneously. The performance of the developed evolving T-S fuzzy model is first validated by studying the benchmark Box-Jenkins nonlinear system identification problem. Then, it is applied to approximate the forward and inverse dynamic behaviors of a magneto-rheological (MR) damper of which identification problem is significantly difficult due to its inherently hysteretic and highly nonlinear dynamics. It is shown by the validation applications that the developed evolving T-S fuzzy model can identify the nonlinear system satisfactorily with acceptable number of rules and inputs.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127051657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Application of sensor fusion and polynomial classifiers to tool wear monitoring","authors":"I. Deiab, K. Assaleh, F. Hammad","doi":"10.1109/ISMA.2008.4648808","DOIUrl":"https://doi.org/10.1109/ISMA.2008.4648808","url":null,"abstract":"This paper presents a novel approach to model and predict cutting tool wear using statistical signal analysis, pattern recognition and sensor fusion. The data are acquired from two sources: an acoustic emission sensor (AE) and a tool post dynamometer. The pattern recognition used here is based on two methods: artificial neural networks (ANN), and polynomial classifiers (PC). In this work we compare between cutting tool wear predicted by neural network (ANN) and polynomial classifiers (PC). For the case study presented; PC proved to significantly reduce the required training time compared to that required by an ANN without compromising the prediction accuracy. The predicted results compared well to the measured tool wear.","PeriodicalId":350202,"journal":{"name":"2008 5th International Symposium on Mechatronics and Its Applications","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133790615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}