This paper presents comparative study between fractional-order PI (FOPI) and PI controller for steam temperature control. Both controllers were tuned using Ziegler-Nichols tuning rules based on identified steam temper...
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This paper presents comparative study between fractional-order PI (FOPI) and PI controller for steam temperature control. Both controllers were tuned using Ziegler-Nichols tuning rules based on identified steam temperature model in FOPDT structure. Simulation studies show the feasibility of using the original Ziegler-Nichols rules in producing significant improvement of FOPI over the PI with the same control parameter. However, overall performances of FOPI are dependent on the fractional-order and minor modification on its low-frequency response is required. This study also proposed a practical solution for the problem by introducing an auxiliary function called as an error filter. Overall performances of both controllers were validated with experimental results that show good agreement with simulations.
In consideration of transmission system parameters' impact on fuel economy and exhaust emissions of hybrid electric vehicle(HEV), a multi-objective optimization scheme, immune genetic algorithm, is proposed in thi...
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In consideration of transmission system parameters' impact on fuel economy and exhaust emissions of hybrid electric vehicle(HEV), a multi-objective optimization scheme, immune genetic algorithm, is proposed in this paper for optimization of both transmission system parameters and control parameters of HEV. Therefore we establish a multi-objective optimal model where we consider transmission system parameters as variables, minimizing fuel consumption and exhaust emissions(CO, HC and NOx) as optimization objectives, dynamic performance and balance in battery state of charge as constraint conditions. Meanwhile, we transform the multiple-objective functions into single-objective ones by weighting coefficients to realize optimization via immune genetic algorithm. Thus a combined optimization and simulation model is established by using real coding method and calling functions on ADVISOR's background. Simulation results show that the proposed algorithm can effectively reduce fuel consumption and exhaust emissions of the vehicle.
Most of the multivariable controlsystems include interactions between different input-output pairs. The control problem becomes more complex in case of significant interactions because single loop control solutions c...
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Most of the multivariable controlsystems include interactions between different input-output pairs. The control problem becomes more complex in case of significant interactions because single loop control solutions cannot be applied directly. In such cases, reducing the interactions with a pre-compensator can be accepted as the first step of design process. In this study, two input two output systems are discussed and sufficient conditions are derived to achieve diagonal dominance in case of static diagonal controllers. Moreover, a new algorithm is proposed to determine the controller gain regions that guarantees column and row diagonal dominance. Weighting factors are applied for both row and column diagonal conditions to obtain better results. Lastly, controller gain regions are plotted for a given TITO system to verify the effectiveness of the derived theoretical results.
There is a little deficiency of passive vibration isolation system for mechanical equipment in the low frequency, based on the GMA and sliding mode algorithm. The model of magnetostrictive hybrid vibration isolation s...
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ISBN:
(纸本)9783642549243;9783642549236
There is a little deficiency of passive vibration isolation system for mechanical equipment in the low frequency, based on the GMA and sliding mode algorithm. The model of magnetostrictive hybrid vibration isolation system (MHVIS) is proposed with the combination of intelligent magnetostrictive materials, passive vibration and active control. Numerical simulation results show that the MHVIS can quickly improve system response speed, broaden vibration frequencies and effectively decrease the force transmitted to foundation with a good control performance.
This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical ...
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This paper presents a method of detecting and segmenting regions of interest (ROIs) of the thermal image of electrical installations. These regions are very important in diagnosing the thermal condition of electrical equipment. Due to the nature of thermal imaging, segmentation with the conventional approach will make inaccurate ROI detection, especially when qualitative approach is considered in evaluating the equipment's condition. Therefore, we take the advantage of extracting local features to identify, locate, and match multiple repeated objects and grouping a look-like similar objects in the images. Experimental results show that the proposed method achieves better performance for detecting the target ROIs with various irregular intensity variations, dim target equipments and cluttered background. The performance of the proposed method is qualitatively and quantitatively evaluated.
The rising demand for water and the need for more electricity to transport it, from remote sources to consumers, are pushing humanity to find ways to save water as well as energy. Thus, this paper presents a novel tec...
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The rising demand for water and the need for more electricity to transport it, from remote sources to consumers, are pushing humanity to find ways to save water as well as energy. Thus, this paper presents a novel technique to optimize the control operations in water utilities, where the water distribution system is modeled as a Markov Decision Process to produce a control policy to minimize the energy expenses. We report experiments in a water utility that provided reduction of 39.3% in energy expenses. Moreover, it was possible to increase soundness of the system operation in order to avoid water outages. (C) 2013 The Authors. Published by Elsevier Ltd.
As for the evaporator superheat with the characteristics of large time delay, this paper puts forward predictive control method with intelligent rolling optimization. Based on the input data of the object to identify ...
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ISBN:
(纸本)9783642549274;9783642549267
As for the evaporator superheat with the characteristics of large time delay, this paper puts forward predictive control method with intelligent rolling optimization. Based on the input data of the object to identify the object dynamic model of the evaporator superheat, it predicts the next time output of the system using the prediction model based on Dynamic Matrix control (DMC), to control the superheat requirements in the target range. The experimental results show than using the control method of DMC, the system runs stable, and has strong anti-interference. Compared with conventional PID control, the DMC control runs more accurately, and can get better control effect.
In this paper, a cosine switch control method for nonholonomic chained form system is proposed. Inputs switch between two modes to steer the nonholonomic system from an initial configuration to an arbitrary final conf...
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ISBN:
(数字)9783642549274
ISBN:
(纸本)9783642549274;9783642549267
In this paper, a cosine switch control method for nonholonomic chained form system is proposed. Inputs switch between two modes to steer the nonholonomic system from an initial configuration to an arbitrary final configuration. The motion trajectories of states are smooth and have low oscillation under the cosine switch control. It has proved that a mobile robot system can be converted into chained form system. Thus, a two-wheeled mobile robot model is discussed as an example to illustrate the application of this new control algorithm. Finally, simulations and experiments of mobile robot are implemented to verify the feasibility and effectiveness of the proposed method.
It is very common to control the temperature in all areas of industrial production, the temperature controlsystem always has large inertia and time delay and it is complicated and uncertain. The article combines S7-3...
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ISBN:
(纸本)9783642549274;9783642549267
It is very common to control the temperature in all areas of industrial production, the temperature controlsystem always has large inertia and time delay and it is complicated and uncertain. The article combines S7-300PLC and software of Matlab, analyzes the temperature control effects of conventional PID controller and self-tuning Fuzzy PID controller. On this basis, an improved self-tuning fuzzy PID control algorithm is given in this paper. The experimental results show that this controlsystem achieves real-time precise control of temperature, improves the control efficiency, has a profound practical significance.
This paper presents a fuzzy controlsystem of the exposure value (EV) of a digital camera. The intelligent controller considers fuzzy input variables, applies fuzzy rules and provides fuzzy and crisp results for the f...
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ISBN:
(纸本)9783642549274;9783642549267
This paper presents a fuzzy controlsystem of the exposure value (EV) of a digital camera. The intelligent controller considers fuzzy input variables, applies fuzzy rules and provides fuzzy and crisp results for the focal length, EV, aperture, and speed of a digital camera in an automatic way. The controlsystem calculates the most appropriate solution considering the distance to the subject and the lighting conditions. The results obtained resemble the behavior of an intermediate level photographer. The prototype controller was developed with Xfuzzy and Java.
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