Smart buildings will play a fundamental role in ensuring comfort while reducing the energy required. However, due to the lack of knowledge about the operation of the smart controllers, the occupants can unintentionall...
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ISBN:
(纸本)9781450357289
Smart buildings will play a fundamental role in ensuring comfort while reducing the energy required. However, due to the lack of knowledge about the operation of the smart controllers, the occupants can unintentionally increase the energy spent. Nevertheless, there is evidence that the informed and motivated user will actually cooperate with the system. Some of the issues associated with researching controlsystems in the context of building automation are difficult to address, because of the chronic lack of effective laboratory settings for experimentation. In this paper, we describe a system representative of the usual complexity found in cyber-physical systems, whose purpose is to address the needs for experimenting with building automation, with a focus on controlsystems and gamification. Designed with pragmatic concerns, this system presents a unique set of challenges and opportunities to research a new generation of software controlsystems, and supporting interfaces, that leverage the occupants' behaviour.
Some distributed parameter systems with irrational transfer function can be written into an infinite factorized quotient for dynamic analysis and control design purposes. Hence, high accuracy approximate time solution...
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ISBN:
(纸本)9781538672235
Some distributed parameter systems with irrational transfer function can be written into an infinite factorized quotient for dynamic analysis and control design purposes. Hence, high accuracy approximate time solutions and frequency uncertainty bounds can be computed exactly, enabling early lumping in robust controller design. In this paper the focus is on finding a block factorization for a thermal unstable solid propellant rocket model, and design a near optimal robust finite dimensional controller.
In this work, the lightning impulse parameter estimation is formulated as a fractional model order reduction problem. In this method the received impulse is viewed as an impulse response of an unknown fractional order...
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ISBN:
(纸本)9781538638972
In this work, the lightning impulse parameter estimation is formulated as a fractional model order reduction problem. In this method the received impulse is viewed as an impulse response of an unknown fractional order system. Unlike that of the existing techniques the estimation of the signal parameters is carried out for an unknown number of modes in which all signal modes are compressed using a proposed frequency domain template. This eliminates the necessity of identifying all signal parameters that usually needs computationally demanding matrix analysis. For this purpose, a fitness function is provided such that its minima are the parameters of the impulse by which the mean curve and the impairments are reconstructed accurately. Simulation results have shown accurate representation for the underlying impulse for oscillatory and front overshoot signal models.
Fuzzy logic controller (FLC) is one of popular approach to control any process variables which mimics human inference mechanisms. Due to their intelligent nature and simplicity, FLC has become very common among any in...
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ISBN:
(纸本)9781538638972
Fuzzy logic controller (FLC) is one of popular approach to control any process variables which mimics human inference mechanisms. Due to their intelligent nature and simplicity, FLC has become very common among any intelligent control schemes. One of the challenges in implementing FLC is regarding to the tuning method of the membership functions. The fixed points along the universe of discourse, on which the border of fuzzy sets are defined, need to be determined properly to achieve the desired behavior. This study proposes a design of experiments using orthogonal array for optimizing the membership function for both inputs and outputs. The temperature control case was utilized to show the effectiveness of such method. Four control factors were chosen to conduct the experiments, where the objective is to diminish the integral absolute error of the step response. Analysis of means was used to determine the optimum membership function and analysis of variance (ANOVA) was used to find out the most significant control factors. The results show that the performance of the fine-tuned membership function is better than that of default membership function. The controller also shows robustness against variation and works properly within input full range.
This paper deals with the nine-phase motor control algorithm development, mainly with its implementation in target hardware using MATLAB Simulink. This environment allows control algorithm design using model based app...
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ISBN:
(纸本)9781538638972
This paper deals with the nine-phase motor control algorithm development, mainly with its implementation in target hardware using MATLAB Simulink. This environment allows control algorithm design using model based approach and the subsequent automatic conversion of control algorithms into C code using Simulink Embedded coder which is then used in the inverter software. Field oriented control algorithm has been designed and tuned for this motor. control algorithm has been tuned according to the measured motor parameters in simulations and then fine tuned on a real motor. The inverter control unit is based on AURIX Tricore microcontroller TC275. The code generation in Simulink has many settings. This paper analyses computational time depending on these settings. Potential problems with floating point math functions are outlined. Automatic code generation proves to be quick and easy tool for replacement of control algorithms or for fast control algorithm adaptation to different hardware.
Differential geometry supplies important mathematical tools for engineering applications. Geodesics play a crucial role in many iterative methods and, when there are explicit formulas to write them, they provide elega...
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ISBN:
(纸本)9781538672235
Differential geometry supplies important mathematical tools for engineering applications. Geodesics play a crucial role in many iterative methods and, when there are explicit formulas to write them, they provide elegant and computationally efficient methods to solve real problems. Unfortunately, for some manifolds such formulas are hard to find. This is the case for the Stiefel manifold that plays an important role in computer vision and pattern recognition. Quasi-geodesics is another class of curves with constant geodesic curvature that have proved to be particularly useful to implement interpolating algorithms on Stiefel manifolds. The main objective of this paper is to reveal its interesting geometry, by showing their connection with solutions of a sub-Riemannian optimal control problem on a Lie group that acts on the manifold.
The ten papers in this special section address issues related to the design, reliability, security and testing of integrated systems in the nanoscale era. These papers cover a wide spectrum of techniques, including th...
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The ten papers in this special section address issues related to the design, reliability, security and testing of integrated systems in the nanoscale era. These papers cover a wide spectrum of techniques, including the issues of low-power design, the test, the reliability, the security and trust of circuits manufactured with emerging technologies.
The Special Section in ieee Access on Body Area Networks (BAN) collects the extended versions of the best manuscripts submitted to and presented at “Bodynets 2016,” a conference that “aims to provide a world-leadin...
The Special Section in ieee Access on Body Area Networks (BAN) collects the extended versions of the best manuscripts submitted to and presented at “Bodynets 2016,” a conference that “aims to provide a world-leading and unique opportunity for bringing together researchers and practitioners from diverse disciplines to plan, analyze, design, build, deploy and experiment with/on Body Area Networks (BANs)” http://***/2016/show/home , held in December 2016 in Torino, Italy.
In this paper, estimation of rotor speed and position by using model reference adaptive system (MRAS) with multilayer perceptron (MLP) for PMSM sensorless control are presented. Conventional controller which is PI con...
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ISBN:
(纸本)9781538638972
In this paper, estimation of rotor speed and position by using model reference adaptive system (MRAS) with multilayer perceptron (MLP) for PMSM sensorless control are presented. Conventional controller which is PI controller for adaptation scheme still hunger with high accuracy information of PMSM for low speed region. Based on PI controller, the MLP which is more well-known about their learning efficiency and performance. This paper proposes a method for training an MLP network using Particles Swarm Optimization (PSO) called MLP-PSO. The PSO is used to find the optimum weights and biases in the MLP network. Finally, the proposed method is evaluated by comparing with PI controller in controlling the speed and position of PMSM. Simulation results under various speed and load conditions has shown that the MLP-PSO achieved well results than the PI controller in terms of system parameter such as rise time (T-r), settling time (T-s), percent overshoot (%OS), and root mean square error (RMSE).
The adoption of virtualization technologies in the development of software has brought advances in concepts such as flexibility and innovation in the field. The advantages introduced by these emerging solutions are wi...
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ISBN:
(纸本)9781538671085
The adoption of virtualization technologies in the development of software has brought advances in concepts such as flexibility and innovation in the field. The advantages introduced by these emerging solutions are widely known in Cloud computing and Big Data systems. It should also be noted that these concepts have contributed to spreading such technologies in different contexts. Good examples of this are Cyber-Physical Production systems (CPPS) and Industrial Internet-of-Things (IIoT) providing the future smart factories with advanced flexibility in production. In this sense, this paper proposes a flexible container architecture for industrial control. More specifically, it is focused on multi-purpose controllers or mobile anthropomorphic robots making use of a container solution. To this end, key technologies as Docker or IEC 61499, are used to address at the same time the deployment of flexible functions and the virtualization of control, with legacy support.
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