A review of direct torque control of induction motors for sustainable reliability and energy efficient drives

IntroductionMany modern greenhouses have been imported in China as show-cases of modern agriculture from Western European countries in the past 30 years. However, few of such showcase greenhouses have been economically successful in China. These greenhouses consume too much energy. One major cause for the discrepancy in performance of these production systems in Europe and in China is the significant climatic differences between China (particularly in the subtropical regions) and the countries where the systems were developed [1]. Therefore, it's necessary to develop suitable control strategies for the greenhouses in China. However, it's inappropriate to test new control methods in an actual greenhouse directly, because it's laborious and costly, and it even causes damage to the actuators and crops. It's better to test new control methods in simulation at first, which is convenient and safe. The premise is that the mechanistic models of greenhouse microclimate must be built in advance. The purpose of this paper was to develop suitable mechanistic models of greenhouse air temperature and humidity, according to the characteristics of actuators in most greenhouses in China.The mechanistic model of greenhouse microclimate is a group of dynamic energy and mass balance equations, the function of which is to simulate the dynamic behaviors of greenhouse microclimate. Many mechanistic models have been developed, such as GDGCM model [2,3] There are also some mechanistic models which just describe the dynamic behaviors of greenhouse microclimate under a particular operating state, for example, Teitel and Tann studied the transient response of the greenhouse air temperature and humidity under the

“…The computation expressions of the stomatal resistance and the aerodynamic resistance of crop are given as follows [17]:…”

Section: Modeling Of Inside Air Humiditymentioning

confidence: 99%

Dynamic Mechanistic Modeling of Air Temperature and Humidity in the Greenhouses with on-off Actuators

Xu¹,

Chen²,

Zhang³

et al. 2016

“…Take the prediction and control theory of photovoltaic, gridconnected inverter as the basis to constitute the mathematical function of system power tracing the errors in a single control cycle and regard the minimum error that power traces as the control object to deduce and obtain the optimal action time which is corresponding to each voltage vector. Results of prototype examination has shown that, this method can efficiently optimize the stability control precision of grid-connected inverter system to realize the operation of fixed switching frequency and it also maintains the high dynamic responsive characteristics of the conventional direct power control method [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Photovoltaic Grid Connected Control Algorithm Based on Covariance Optimization Ant Colony Algorithm

Ting

Hong

et al. 2016

“…Many methods have been proposed for FDD, e.g., parity space-based approach [4], Kalman filters approach [5], parameter identification-based approach [3] as well as observer-based approach [7][8][9][10][11]. Observer-based FDD, including sliding model observer-based FDD [10,11] and adaptive observer-based FDD [12][13][14][15], is one of the most effective methods and has obtained much more attention. So far, various observer-based FDD approaches have been reported in the literatures.…”

Section: Introductionmentioning

confidence: 99%

“…People have took more and more attention to the method of adaptive observer and obtained many valuable results [12][13][14][15]. Generally, the adaptive observer can only handle the constant fault of system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fault-Tolerant Control for a Class of Nonlinear Systems Based on Adaptive Observer

Zhang

Wang

2016