{"title":"Two-Degree-of-Freedom Control of a Self-Sensing Micro-Actuator for HDD","authors":"M. Sasaki, K. Fujihara, H. Yamada, Y. Nam, S. Ito","doi":"10.1117/12.783779","DOIUrl":"https://doi.org/10.1117/12.783779","url":null,"abstract":"The present paper describes a two-degree-of-freedom control of a self-sensing micro-actuator for a dual-stage hard disk drive. The two-degree-of-freedom control system is comprised of a feedforward controller and a feedback controller. Two controllers are designed for the two-degree-of-freedom control system, one for the inverse dynamic model for the feedforward controller and one for the feedback controller using self-sensing signal. The feedback controller can realize the self-sensing signal. The micro-actuator uses a PZT actuator pair, installed on the assembly of the suspension. The self-sensing micro-actuator can be used to form a combined actuation and sensing mechanism. Experimental results show that the two-degree-of-freedom control approach can be used effectively for the control of the self-sensing micro-actuator system.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131186060","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":"A One-Parameter Structure for Adaptive Iterative Learning Control of Robot Manipulators","authors":"Chiang-Ju Chien, Abdelhamid Tayebi","doi":"10.1109/ISIC.2007.4450906","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450906","url":null,"abstract":"In this paper, a new one-parameter structure is presented for the design of adaptive iterative learning controller for repetitive control of robot manipulators. Only one control parameter is needed for compensation of the unknown plant information so that the size of memory for storage of previous control information can be greatly reduced. In addition to the new control structure, an adaptive algorithm combining time-domain and iteration-domain adaptation is also proposed. The combined adaptive law can relax the requirement of certain unknown upper bound usually used in current existing adaptive iterative learning control schemes. The technical analysis shows that the boundedness of all the internal signals and convergence of the learning error are guaranteed without using projection mechanism in adaptive laws. Finally, a simulation result is provided to illustrate the effectiveness of the learning controller.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121057396","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":"Particle Swarm Optimization for Optimal Flow Control in Combined Sewer Networks-A Case Study","authors":"Lihui Cen, Y. Xi","doi":"10.1109/ISIC.2007.4450895","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450895","url":null,"abstract":"Considering the flow control of large-scale sewer networks to minimize overflows, a control algorithm based on particle swarm optimization with mutation operator (MPSO) is proposed in this paper to achieve optimal operations of reservoir gates. By introducing element models, the mathematical model of whole sewer network can be formulated. The algorithm is applied to solve the optimization problem and generate control actions. To avoid the algorithm being trapped into local optimum, a mutation operator is introduced at the last stage of evolution, which guarantees the optimal solution. The optimal solution obtained by evolution is a sequence of gate opening heights, offering a direction to adjust the gates step by step. The effects under different external inflow scenarios and gate settings are investigated in the test case. The significant improvement in overflow reduction demonstrates its efficiency.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126171857","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":"A General Internal Model Approach For Motion Learning","authors":"Jian-xin Xu, Wei Wang","doi":"10.1109/ISIC.2007.4450905","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450905","url":null,"abstract":"In this article, we present a general internal model (GIM) approach for motion skill learning at the elementary level and coordination level. In the past, internal models with two different configurations are used to describe the two classes of dynamic movement primitives (DMPs): discrete and rhythmic movement. In this work, we developed a unified internal model which can describe both classes of DMPs. In particular, a discrete movement can be modeled as a fraction of a rhythmic movement. The general internal model retains the temporal and spatial scalabilities which are defined as the ability to generate similar movement patterns directly by means of tuning some parameters of the internal model. The advantage of scalability lies in that the learning or training process can be avoided while dealing with similar tasks. Complex motions require movement coordinations, hence coordination of multiple internal models. In the general internal model approach, the coordination is implemented with appropriate phase shifts among multiple internal models. Further in the GIM, the phase shift can be achieved by means of adjusting the initial state values of internal models. Through two illustrative examples, we show that the human behavior patterns with single or multiple limbs can be easily learned and established by the GIM at elementary and coordination levels.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181922","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":"Weighted Fuzzy Rule-Based System Combined With A Novel Simplified E.Coli Foraging Optimization Algorithm","authors":"Shizhuang Lin, Yijian Liu, Yanjun Fang","doi":"10.1109/ISIC.2007.4450896","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450896","url":null,"abstract":"A simplified E.Coli foraging optimization algorithm is presented in this paper, which simulates the chemo-tactic behavior of E.Coli. The optimization algorithm characterizes the easy implementation and the fact that no gradient information is required. The operators of the algorithm are described in details. The simplified E.Coli algorithm consists of a tumbling operator and a swimming operator. At the same time the optimal position of individual E.Coli and the location of all E.Coli swarm are adopted to update the locations of swarm. In this paper, a weighted fuzzy rule-based system has been designed, in which the parameters of membership functions including position and shape of the fuzzy rule set and weights of rules are estimated using the simplified E.Coli foraging optimization algorithm. The efficiency of the system has been illustrated in the process of classifying the iris data. This paper also shows that weighted fuzzy rules can lead to better fuzzy system compared with non-weighted fuzzy rules.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129251332","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":"Nonlinear Element Compensation by Gain Adjustment and Dither Smoothing","authors":"Yun-Yao Lee, Chien-Yu Chi, Kunming Li","doi":"10.1109/ISIC.2007.4450934","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450934","url":null,"abstract":"A novel approach to linearize nonlinearities commonly inherent in actuators is proposed in this paper. This approach solves the inverse of the nonlinearity without requiring its I/O relations as a one-on-one map, which is necessary for the current inverse-model method By introducing the concept of the equivalent gain, the proposed method systematically finds the inverse model of the nonlinearity by solving a zero-finding problem. Discussions on the existence and uniqueness of the solution are given in this paper. A simulation example is presented to demonstrate how the task in finding the inverse of a complicated nonlinearity can be simplified by the proposed method. Experimental evaluations on a position servo system with conspicuous friction reveal that the dither-smoothed nonlinearities are still nonlinear, and compensating action like the proposed method is necessary for control systems using the dithering technology.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126676941","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":"Intelligent Neural Sliding Control for Planetary Gear Type Inverted Pendulum Mechanism","authors":"Y. Huang, C. Hsu, T. Kuo, Jonqlan Lin","doi":"10.1109/ISIC.2007.4450935","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450935","url":null,"abstract":"An intelligent neural sliding controller is developed for planetary train type inverted pendulum mechanism. The control methodology is based on the sliding mode control. The switching function in the normal control law is replaced with a bipolar sigmoid function. A fuzzy neural network is used to identify the pendulum dynamics. Adaptive tuning law is derived. The bipolar sigmoid function is thus adjusted according to the result of the identification process.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123876889","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":"A Novel Fuzzy Logic Control Strategy for Compressor Surge Control Using a Variable Area Throttle","authors":"S. Al-Mawali, J. Zhang","doi":"10.1109/ISIC.2007.4450967","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450967","url":null,"abstract":"This paper presents a new fuzzy control approach to compressor surge control. A variable area throttle is used in this strategy. The controller uses measurements of flow and the change of flow to determine the control action. By using the change of mass flow, the controller does not need to know where the operating point is. One advantage of the proposed controller is that it does not need a model of the controlled compressor and it works on any compressor as long as the static stability criterion is satisfied. The fuzzy rules are transferable and only the scaling factor and the throttle capacities need to be changed when the controller is applied to another compressor of the same type. Simulation results show that the proposed controller gives good performance in various situations.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126429323","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":"Voltage / Reactive Power Control Optimization with Economy and Security using Tabu Search","authors":"Y. Nakachi, A. Kato, H. Ukai","doi":"10.1109/ISIC.2007.4450959","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450959","url":null,"abstract":"Following the deregulation of electric power market, the several power transactions and the distributed generation are on the rise increase year by year in Japan. If this trend continues, there is a likelihood that the power flow will be more complex coupled with a greater degree of uncertainty. Therefore it may be difficult for voltage/reactive power control (VQC) to maintain the adequate voltages for the secure operation of the power system. In addition, there is an increasing need to optimize the power system operation in view of the competitive power market. Hence, in this paper, the optimization problem is formulated to solve the VQC strategy satisfying the trade-off problem concerning security and economy using Tabu Search (TS). TS, a meta-heuristic approach, is suitable for the optimization problem of VQC. In particular, the efficient method to search the neighborhood solution on Tabu search algorithm is proposed. It is confirmed by performing several numerical simulations using IEEE 14 bus system that the proposed scheme is able to ensure the security and to find the useful sub-optimal solution efficiently.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130077426","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}
K. Yukita, Shinsuke Washizu, K. Taniguchi, M. Oshima, N. Hayashi, K. Ichiyanagi, Y. Goto
{"title":"A Pole Change Generator for Micro Windmill with Maximum Power Point Tracking System","authors":"K. Yukita, Shinsuke Washizu, K. Taniguchi, M. Oshima, N. Hayashi, K. Ichiyanagi, Y. Goto","doi":"10.1109/ISIC.2007.4450960","DOIUrl":"https://doi.org/10.1109/ISIC.2007.4450960","url":null,"abstract":"This paper proposes the pole change generator for micro windmill with maximum power point tracking (MPPT) system. First, to show the effect of the pole change generator, the generator and the pole changing controller are made. Then, the pole change generator can make the values of best load by converting the pole number. Next, the input variable and the control method are examined for the improvement in a control performance of MPPT control. Then, the MPPT is the climbing a mountain method. The proposed method was able to maintain the output of power generation for a wide load change. The proposed method is a good control characteristic.","PeriodicalId":184867,"journal":{"name":"2007 IEEE 22nd International Symposium on Intelligent Control","volume":"8 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131564901","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}