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Content available remote Switched reluctance motor drives speed control using optimized PID controller
EN
The switched reluctance motor (SRM) has turned out to be an outstanding resolution for a various appliances. The modern invents of SRM grant consumers to yield advantage of small starting currents , better efficiency and robust structure that illustrates this kind of motor. This article aims at analyzing and modeling the switched reluctance motor speed controller utilizing a Proportional Integral derivative (PID) controller. The non-linear character of the SRM magnetic properties is currently fetched into attention for modeling . These nonlinearities of the switched reluctance machines attain the traditional PID controller an inadequate selection for appliance where high dynamic performance drive is required. Genetic Algorithm (GA) is manipulated to adjust the PID coefficients for the SRM drive. The consequences achieved indicates that the utilization of these established algorithms controller enhances the transient and steady state performances.
PL
Silnik z przełączaną reluktancją (SRM) okazał się być znakomitym rozwiązaniem dla różnych urządzeń. Nowoczesne wynalazki SRM dają konsumentom korzyści w postaci małych prądów rozruchowych, lepszej wydajności i solidnej konstrukcji, która ilustruje ten rodzaj silnika. Celem artykułu jest analiza i modelowanie regulatora prędkości silnika z przełączaną reluktancją, wykorzystującego regulator proporcjonalnocałkująco-pochodny (PID). Obecnie zwraca się uwagę na nieliniowy charakter właściwości magnetycznych SRM. Te nieliniowości przełączanych maszyn reluktancyjnych powodują, że tradycyjny regulator PID jest nieodpowiednim wyborem dla urządzeń, w których wymagana jest wysoka dynamika napędu. Algorytm genetyczny (GA) jest manipulowany w celu dostosowania współczynników PID dla napędu SRM. Uzyskane konsekwencje wskazują, że wykorzystanie tych ustalonych algorytmów kontrolera poprawia wydajność w stanie nieustalonym i ustalonym.
EN
Physical machine systems are represented in the form of differential equations. These differential equations may be of the higher order and difficult to analyses. Therefore, it is necessary to convert the higher-order to lower order which replicates approximately similar properties of the higher-order system (HOS). This article presents a novel approach to reducing the higher-order model. The approach is based on the hunting demeanor of the hawk and escaping of the prey. The proposed method unifies the Harris hawk algorithm and the moment matching technique. The method is applied on single input single output (SISO), multi-input multi-output (MIMO) linear time–invariant (LTI) systems. The proposed method is justified by examining the result. The results are compared using the step response characteristics and response error indices. The response indices are integral square error, integral absolute error, integral time absolute error. The step response characteristics such as rise time, peak, peak time, settling time of the proposed reduced order follows 97%–100% of the original system characteristics.
EN
The influence of applied loads between 0.09807 N and 0.9807 N on measured values of micro-hardness was evaluated by Meyer’s index n, proportional specimen resistance model (PSR) and Hays – Kendall methods, Total Dispersion Zone and Analysis of Variance (ANOVA). The measurement was repeated 6 times using the same hardness reference block with standard hardness Hc = 327 HV0.05 as a sample. The influence of the load on the measured value of micro-hardness is statistically significant, and the relationship between applied load and micro-hardness manifests reverse indentation size effect (ISE) for most of “measurements”. The high value of the uncertainty of results can affect the existence and nature of ISE, especially at low loads.
EN
Application of magnesium selective electrodes to magnesium ion determination in biomedical samples has been introduced to analytical chemistry since 1990- ies. Using ion selective electrode, the ionized magnesium concentration is determined. Until this time, mainly concentration of total magnesium was determined. In this work, the importance of magnesium and its role in the human organism is shortly presented. Then, we present basics of ion selective electrodes and their application in clinical analyzers. We show exemplary applications of ionized and total magnesium concentration determination in clinical samples, such as blood serum or plasma and erythrocytes, in healthy people and in patients with various diseases. In every case, the ionized magnesium concentration in erythrocytes appears to be the most sensitive indicator of hypomagnesemia that is the pathophysiologically lowered magnesium level in organism. The knowledge of this parameter allows physicians for better diagnosis of magnesium status in human organism.
EN
The main aim of the paper is to present the analysis of anti-windup compensation impact on tracking performance for a second-order plant and continuous-time PID controller and five different simple anti-windup compensators. The performance of the system is compared on the basis of computing differences between the integrals of absolute and squared tracking errors for the system with and without compensation, as well as observing the excess of windup phenomena taking place. Parameters of the controller are computed according to pole-placement scheme. The control system quality is described on the basis of two quality indices for a stable oscillatory second-order plant and a square reference signal.
EN
This text covers application of Largest Lapunov Exponent (LLE) as a criterion for control performance assessment (CPA) in a simulated control system. The main task is to find a simple and effective method to search for the best configuration of a controller in a control system. In this context, CPA criterion based on calculation of LLE by means of a new method [3] is compared to classical CPA criteria used in control engineering [1]. Introduction contains references to previous publications on Lyapunov stability. Later on, description of classical criteria for CPA along with formulae is presented. Significance of LLE in control systems is explained. Moreover, new efficient formula for calculation of LLE [3] is shown. In the second part simulation of the control system used for experiment is described. The next part contains results of the simulation in which typical criteria for CPA are compared with criterion based on value of LLE. In the last part results of the experiment are summed up and conclusions are drawn.
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