{"title":"Should robots copy humans","authors":"J. Lenarcic","doi":"10.1109/INES.1997.632400","DOIUrl":"https://doi.org/10.1109/INES.1997.632400","url":null,"abstract":"The paper studies possible advantages of humanoid robot manipulators by comparing some kinematic properties of the human arm with standard approaches in robot design. The human arm possesses an extremely effective kinematic structure of the mechanism if we take into account the mechanism's kinematic redundancy, the workspace properties, and the velocity-torque capabilities. Human arm utilises kinematic singularities to compensate weak actuation, while in robotic practice kinematic singularities are still avoided. An important issue is also the dual-arm cooperation, as well as the teaching by learning or the visual teaching by showing accompanied by vocal instructions.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123116080","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":"Virtual Plant: a distributed environment for distance monitoring and control of industrial plants","authors":"A. Stefano, L. L. Bello, O. Mirabella","doi":"10.1109/INES.1997.632459","DOIUrl":"https://doi.org/10.1109/INES.1997.632459","url":null,"abstract":"This paper proposes a Virtual Plant to access through the Internet (or Intranet) a remote industrial plant and interact with it from a distance. The aim is remote performance of the normal monitoring and control operations that are usually carried out locally, so that the technicians who evaluate the trend of the production cycle, or diagnose and possibly resolve any malfunctions that occur, do not necessarily have to be physically present in the plant itself but can operate from any part of the world through the Internet. This makes intervention not only timely but also efficient (it is possible to centralize logically correlated functions even when they refer to remote elements) and safe for the staff involved as they do not always have to be physically present in risky environments.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780285","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":"Singular value-based fuzzy rule interpolation","authors":"P. Baranyi, Y. Yam, L. Kóczy","doi":"10.1109/INES.1997.632392","DOIUrl":"https://doi.org/10.1109/INES.1997.632392","url":null,"abstract":"In sparse fuzzy rule bases, conventional fuzzy reasoning methods cannot reach a proper conclusion. To eliminate this problem interpolative reasoning has emerged in fuzzy research as a new topic. If the number of variables or the number of fuzzy terms is growing the size of the rule base increases exponentially, hence, the inference/control time also increases considerably. Interpolative reasoning can help to reduce the number of rules, but does not eliminate the problem of exponential growth. Singular value based rule base reduction (FuzzySVD) methods have been published with various conventional methods. This paper introduces the extension of the FuzzySVD method to the specialized fuzzy rule interpolation method to achieve more significant reduction.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128706887","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":"Takagi-Sugeno fuzzy control of batch polymerization reactors","authors":"J. Abonyi, L. Nagy, F. Szeifert","doi":"10.1109/INES.1997.632425","DOIUrl":"https://doi.org/10.1109/INES.1997.632425","url":null,"abstract":"It is a well-known fact that batch processes are gaining wider ground in chemical industries. Compared with continuous processes the control of batch processes is more difficult because of the physical and chemical properties of the contents, such as heat capacity, heat transfer coefficient and reaction rate, which vary from run to run and within runs. The control problem focuses on the temperature control of a polystyrene batch reactor using the rule based Takagi-Sugeno fuzzy controller based on the controller output error method. The proposed learning fuzzy logic controllers are shown to be capable of providing a good overall system performance.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131656682","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":"Power turbine speed control of the GE T700 engine using the zero steady-state self-tuning regulator","authors":"C. Ozsoy, A. Duyar, R. Kazan, R. Kiliç","doi":"10.1109/INES.1997.632447","DOIUrl":"https://doi.org/10.1109/INES.1997.632447","url":null,"abstract":"This paper presents a new approach to the speed control of the T700 turboshaft engine using an adaptive controller of the self-tuning type for the power turbine. For the design of the SISO-STR, a SISO time-series model describing the relationship between the fuel flow as input and power turbine speed as output is used. The unknown parameters of this model can be updated recursively online by the recursive least squares estimation algorithm. An adaptive self-tuning type controller are then designed by minimizing the expected value of a quadratic criterion which also includes an integrating effect to remove the steady-state speed errors. Three linearized models characterizing turboshaft engine without and with load dynamics are used to test the robustness and performance specifications of the proposed self-tuning regulator in the digital simulation studies.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116950058","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}
T. Yamasaki, M. Yumoto, T. Ohkawa, N. Komoda, F. Miyasaka
{"title":"Automatic parameter tuning of stochastic qualitative model of building air conditioning systems","authors":"T. Yamasaki, M. Yumoto, T. Ohkawa, N. Komoda, F. Miyasaka","doi":"10.1109/INES.1997.632454","DOIUrl":"https://doi.org/10.1109/INES.1997.632454","url":null,"abstract":"We have proposed the stochastic qualitative simulation which can derive approximate behavior from a simple qualitative model of a target. In this method, the model must be constructed with numerous stochastic parameters. The parameter tuning process is the most difficult element of model construction. This paper outlines an automatic parameter turning by means of the steepest ascent based method. This method was used in order to generate a model of a real air conditioning system in a building.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114708575","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":"Fuzzy logic approach to identification of nonlinear characteristic","authors":"A. Królikowski","doi":"10.1109/INES.1997.632453","DOIUrl":"https://doi.org/10.1109/INES.1997.632453","url":null,"abstract":"Identification of nonlinear characteristic using fuzzy approach is considered. A fuzzy model is represented as a number of rules. The condition part of the rule is determined by a fuzzy partition of the input space, and the action part of the rule is a regression model where the regression coefficients have to be identified. The method is applied to identification of nonlinear characteristic of a separately excited DC motor.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121627500","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":"Fuzzy logic controllers design: a case study","authors":"L. Mastacan, I. Olah, L.I. Anita, T. Peiu","doi":"10.1109/INES.1997.632422","DOIUrl":"https://doi.org/10.1109/INES.1997.632422","url":null,"abstract":"An approach to designing fuzzy logic controllers based on the knowledge about how to control a process and the experience of operators working with the process is presented. The fuzzy control goals are to reach the best transient and steady state performances. To obtain these performances, the rule base and fuzzy set membership functions of the fuzzy logic controllers must be adjusted. Two approaches are developed. One approach is to use an operator to change the fuzzy controller parameters by trials and errors. Another approach is to design a self organizer fuzzy controller. Some examples of fuzzy temperature control systems are presented.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950093","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":"Kinematic analysis of artificial biped locomotion systems","authors":"F.M. Silva, J. T. Tenreiro Machado","doi":"10.1109/INES.1997.632442","DOIUrl":"https://doi.org/10.1109/INES.1997.632442","url":null,"abstract":"This paper presents the kinematic study of robotic biped locomotion systems. The main purpose is to determine the kinematic characteristics and the system performance during walking. For that objective, the prescribed motion of the biped is completely characterised in terms of five locomotion variables: step length, hip height, maximum hip ripple, maximum foot clearance and link lengths. In this work, we propose three methods to quantitatively measure the performance of the walking robot: locomobility measure, perturbation analysis, and low pass frequency response. These performance measures are discussed and compared in determining the robustness and effectiveness of the resulting locomotion.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125393676","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":"Robust sliding mode based impedance control","authors":"A. Hace, S. Uran, K. Jezernik, B. Curk","doi":"10.1109/INES.1997.632396","DOIUrl":"https://doi.org/10.1109/INES.1997.632396","url":null,"abstract":"Industrial robots are confronted with performing tasks where a contact with their environment occurs. Therefore, a need for control algorithms with position tracking performance and force control ability appears. Many algorithms have been proposed which deal with robot motion and force control. They could be mainly separated into two classes, namely: hybrid control, where constrained and unconstrained DOFs of the robot are observed separately based on the principle of the orthogonality; and impedance control where the robot should adopt some physical properties such as mass, damping and stiffness in order to assure stable dynamic interaction with the environment. In this paper the robust impedance control law based on the attractive theory of sliding mode is proposed. The control law guarantees a robot predefined impedance and therefore force regulation based on impedance properties is discussed. Experimental results on a simple 1 DOF mechanism is shown to verify theoretical statements.","PeriodicalId":161975,"journal":{"name":"Proceedings of IEEE International Conference on Intelligent Engineering Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1997-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127783648","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}