This paper considers model-based feedforward for motion systems. The proposed feedforward controller consists of an acceleration feedforward part and an inverse dynamics model of flexible modes. Based on analysis and ...
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This paper considers model-based feedforward for motion systems. The proposed feedforward controller consists of an acceleration feedforward part and an inverse dynamics model of flexible modes. Based on analysis and H/sub /spl infin// model-based feedforward design, the inverse dynamics can be restricted to a second order filter in the form of a skew notch even if the motion system has more parasitic modes. The benefit of this is an on-line tuning possibility. Tracking errors and settling times can be reduced significantly compared to acceleration feedforward.
For any two n-th order polynomials a(s) and b(s), the Hurwitz stability of their convex combination is necessary and sufficient for the existence of a polynomial c(s) such that c(s)/a(s) and c(s)/b(s) are both strictl...
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Superposition of two periodic straight fringe light fields (SFLF) results in striking spatial composed patterns that is similar to moiré patterns. The mathematical model for superposition of two SFLF with a littl...
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Superposition of two periodic straight fringe light fields (SFLF) results in striking spatial composed patterns that is similar to moiré patterns. The mathematical model for superposition of two SFLF with a little angle inclined to each other is established. The results of simulation show that the period width of composed patterns is proportional to the period width of SFLF. The contrast and maximum intensity of composed patterns is larger than that of SFLF. Different cases are discussed in experiment. The experimental results are presented and they coincide well with the simulation results.
Path generation algorithms for AUV's homing and docking are presented. Optimization technique with a proper cost function is given for the homing process, and prediction algorithm for 1st stage-docking process. Do...
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Path generation algorithms for AUV's homing and docking are presented. Optimization technique with a proper cost function is given for the homing process, and prediction algorithm for 1st stage-docking process. Dock position and pose estimation algorithm using geometric and perspective relationship of circle in 3-dimention space and ellipse in projected 2-D plane is introduced for real time vision tracking algorithm of 2nd stage-docking process. Simulations using MATLAB program and experiments for dock position and pose estimation algorithm show that robust estimation algorithm can get practically exact pose and position of dock.
In this paper a non-linear fuzzy autopilot for ship track-keeping is presented. The proposed autopilot has four inputs (actual and desired heading, rate of change of heading and offset from the desired path) and one o...
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In this paper a non-linear fuzzy autopilot for ship track-keeping is presented. The proposed autopilot has four inputs (actual and desired heading, rate of change of heading and offset from the desired path) and one output (command rudder angle). The track-keeping problem is decomposed into two subtasks: (i) followthe desired heading, and (ii) bring the ship onto the desired path and keep tracking. Internally, the autopilot consists of two autopilots that fulfil these tasks simultaneously. The proposed control scheme has been verified using a non-linear model of a Mariner-class vessel and steering mechanism under the influence of wave and current disturbances. Results presented show how such a control strategy enables improved tracking performance.
Iterative learning control (ILC) is a known technique for improving the performance of systems or processes that operate repetitively over a fixed time interval. ILC generates a feed-forward signal effective for provi...
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Iterative learning control (ILC) is a known technique for improving the performance of systems or processes that operate repetitively over a fixed time interval. ILC generates a feed-forward signal effective for providing good tracking control. Experience with ILC algorithm applied to the wafer stage of a wafer scanner motion system has shown that ILC has liability to deal with limited performance in the face of position dependent dynamics, with the fact that ILC does not account for setpoint trajectory changes and with stochastic effects. The goal of the research presented in this paper is to integrate ILC applied to the wafer stage motion system with time-frequency analysis. This provides insight into the above mentioned ILC shortcomings when the learning control technique is applied on the considered motion system. We examine the suitability of a time-frequency adaptive filtering design for the learned feed-forward when applied to the wafer stage setup.
Iterative Learning control (ILC) is a known technique for improving the performance of systems or processes that operate repetitively over a fixed time interval. ILC generates a feedforward signal effective for provid...
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Iterative Learning control (ILC) is a known technique for improving the performance of systems or processes that operate repetitively over a fixed time interval. ILC generates a feedforward signal effective for providing good tracking control. However, there still exist a number of problems which hinder extensions of ILC schemes. The major obstacle is perhaps the requirement that the trajectory (or repetitive disturbance) must be strictly repeatable over operations. ILC has also liability to deal with stochastic effects. This paper presents the design and the implementation of a time-frequency adaptive ILC that is applicable for motion systems which execute the same kind of repetitive tasks. For the motion system, we show that the adaptive algorithm we propose leads to design one (learned) feed-forward signal suitable for different setpoints. We demonstrate that, when implementing time-frequency adaptive ILC, very good time performance (tracking errors) is obtained. The proposed algorithm converges faster than standard ILC. With time-frequency adaptive ILC noise amplification is reduced.
In this paper, an algorithm for hyper symmetric environment simultaneous localization and mapping (SLAM) is developed based on the generalized Voronoi graph. The hyper symmetric environment is a challenging environmen...
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ISBN:
(纸本)0780378601
In this paper, an algorithm for hyper symmetric environment simultaneous localization and mapping (SLAM) is developed based on the generalized Voronoi graph. The hyper symmetric environment is a challenging environment for the SLAM and the most difficult problem on this is a data association. To redeem this problem, we propose three techniques. The first one is a breadth first node navigation algorithm which highly reduces the complexity of the data association. The second scheme is an odometry calibration method which converts untrustable odometry into reliable one. The third method is a multi layered data association scheme. We integrate above three techniques into one framework and propose a SLAM algorithm for the hyper symmetric environment. The simulation result shows that the proposed algorithm can successfully cover a large hyper symmetric environment under 20% odometry uncertainty.
A smart card terminal designed and developed to communicate with smart cards via a single System-on-Chip (SoC) is described in this paper. This proposed and developed SoC-based smart card terminal, designed with the V...
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In this paper, we have proposed the merging of the OpenCable reference model with the smart card interface defined by ISO/IEC 7816-3 and have implemented a new Conditional Access System (CAS) using this interface alon...
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