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Permanent magnet synchronous (PMSM) drives become very popular in many industrial applications. Their construction provides better performance and reliability than DC drives. But there is also one significant disadvantage -actual rotor position knowledge is necessary to control the drive even in the case when only speed control is required. A position sensor has to be used increasing the drive cost...
Electricity is the main type of energy consumed by industry. Awareness of opportunities for reducing electrical consumption has brought an emphasis on electrical energy saving for research such as in power electronics. This paper proposes an energy optimized control using fuzzy logic for induction motors based on noninstrusive efficiency estimation. The presented control is viewed as a direct energy...
Port-controlled Hamiltonian system method is very useful in the performance enhancement control of power systems, of which the key step is to model the power system as a dissipative Hamiltonian system, i.e., to complete the dissipative Hamiltonian realization (DHR). This paper proposes a DHR for multi-machine multi-load power systems based on a novel DHR structure for nonlinear differential algebraic...
Diode lasers have many useful properties and have found a variety of uses including CD and DVD players, barcode scanners, laser surgery, water purification, quantum-key cryptography, spectroscopic sensing, etc. Nevertheless, their intrinsic linewidth, or the precision of their emitted wavelengths, is not good enough for many cutting-edge applications such as atom interferometry or high-performance...
A pendulum rod of a nonlinear system is controlled by using sliding model control. To control the angle of the pendulum rod, a new design method of the sliding model control is proposed using proportional and integral compensation. Conventional and our proposed control methods are applied into the nonlinear system, those control methods are compared through simulation and experiment.
In the previously introduced direct adaptive command shaping filter the time-delay value is fixed and only the magnitudes of the impulses are learned. However, the performance of the direct adaptive time-delay command shaping filter depends on the select time-delay. In this paper, the authors introduce a new scheme to adapt the time-delay which is to be used in conjunction with the direct adaptive...
One important issue that has limited the robustness of vision-based control systems is a dependence on exact camera calibration to relate the image-space to the Euclidean-space. If the calibration is not exactly known, then performance degradation and potential unpredictable response from the system may occur. The focus of this paper is the development of a quaternion-based camera rotation estimate...
In this paper, a Lyapunov-based visual servo tracking controller is developed for a 6 degree-of-freedom camera-in-hand central catadioptric camera system. By using the central catadioptric camera, a panoramic field of view can be obtained. A Lyapunov-based tracking controller is developed by using homography-based image geometry coupled with a quaternion rotation representation. Finally, an asymptotic...
This study presents a method of controlling a mobile robot of omni-directional wheels. Two optical flow sensors are installed on the chassis of the robot to obtain motion information relative to the world coordinate. Due to wheel slip, the kinematic relation from the wheel speed to the robot speed no longer holds. An extremum seeking algorithm is proposed to cope with the unknown friction when the...
In this paper, the quantized state feedback H∞ control problem for discrete-time linear time-invariant (LTI) systems is studied. The quantizers considered here are dynamic and time-varying. Firstly, taking quantization errors into account, a state feedback controller is designed. Then, by using the designed controller, a state-dependent control strategy is proposed with updating quantizer's parameter,...
This paper describes a method to design a nonlinear state feedback controller that meets a set of time-domain specifications not attainable by linear state feedback. Using a constrained polynomial interpolation technique, an input signal is computed that satisfies the desired time-domain constraints on the input and state-trajectories. The computed input is constructed by nonlinear combinations of...
In this paper we present a new tracking control method for holographic digital data storage systems. Holographic data storage systems that use disk media need a different tracking method from those of optical and hard disk drives. Here we present the design and implementation of the controller. Due to the intermittent characteristics of the tracking error signal (TES), the tracking controller is designed...
Remote control over wireless multi-hop networks is considered. Time-varying delays for the transmission of sensor and control data over the wireless network are caused by a randomized multi-hop routing protocol. The characterstics of the routing protocol together with lower-layer network mechanisms give rise to a delay process with high variance and stepwise changing mean. A new predictive control...
The well-known conventional Kalman filter gives the optimal solution but requires an accurate system model and exact stochastic information. Thus, the Kalman filter with incomplete information may be degraded or even diverged. In a number of practical situations, the system model and the stochastic information are incomplete. To solve this problem, a new adaptive fading Kalman filter (AFKF) using...
Pneumatic systems intrinsically have hard limits on the control input and output. To cope with these constraints, a scheduled model predictive control method is modified and applied to a pneumatic system. Unlike standard model predictive control methods, this method can deal with systems that have relatively fast dynamics because the online computational complexity is reduced by computing a sequence...
Nonlinear system analysis and design have been attracting increasing adherents in recent decades. Different normal form techniques, approximation methods, and perturbation procedures have been used to analyze these systems. In recent years, a novel approach, called modal series method, has been introduced and used to study the behavior of autonomous nonlinear dynamic systems of the form x = g(x)....
This paper introduces a new model for describing dynamics of a diesel engine aftertreatment system with diesel oxidation catalyst (DOC) and diesel particulate filter (DPF) components for reducing diesel particulate emissions. The system model results in high-index nonlinear differential-algebraic equations (DAEs), which give more general description of the system as compared to ordinary differential...
In this work, support vector machine (SVM) is applied for detecting epileptic spikes and sharp waves in EEG signal. EEG data are obtained from two-channels EEG monitor on Swiss mice. Our technique maps these intracranial electroencephalogram (EEG) time series into corresponding novelty sequences by classifying short-time, energy based statistics computed from one-second windows of data. Numeric simulation...
This paper deals with the problem of H∞ filtering for discrete time Takagi-Sugeno (T-S) fuzzy systems with time delay. By using a basis-dependent Lyapunov function, a delay-dependent result on the H∞ performance of the filtering error system is presented. A sufficient condition for the existence of the filter is provided. It is shown that the filter can be obtained by solving a set of linear matrix...
A directionally steered drilling system has a borehole-propagation transfer function composed of spatial delay exponentials corresponding to the system's touch points with the borehole. This insight enables frequency-domain methods to be applied to the problems of steering performance.
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