Chinese rice wine making is a typical simultaneous saccharification and fermentation(SSF)*** the fermentation process,temperature is the key parameter which decides the quality of Chinese rice *** optimize the SSF pro...
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Chinese rice wine making is a typical simultaneous saccharification and fermentation(SSF)*** the fermentation process,temperature is the key parameter which decides the quality of Chinese rice *** optimize the SSF process for Chinese rice wine brewing,the effects of temperature on the kinetic parameters of yeast growth and ethanol production at various temperatures were determined in batch cultures using a mathematical *** kinetic parameters as a function of temperature were evaluated using the software *** these functions with the mathematical model,an appropriate form of the model equations for the SSF considering the effects of temperature were *** kinetic parameters were found to fit the experimental data satisfactorily with the developed temperature dependent model and the temperature profile for maximizing the ethanol production for rice wine *** optimum temperature profile began at a low temperature of 26°C up to 30 h,the operating temperature increased rapidly to 31.9°C,and then decreased slowly to 18°C at 65 ***,the temperature was maintained at 18°C until the end of fermentation.A maximum ethanol production of 89.3 g/L was ***,our model would facilitate the improvement of Chinese rice wine production at the industrial scale.
Measurement data usually do not reflect actual chemical processes correctly because of inevitable errors in measurement, which is known as unbalance of measurement data. Data reconciliation and gross error detection a...
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Color night-vision technology increases the representation ability of monochrome night-vision imagery by adding color to it, making observers’ understanding easier. Usually the color night-vision methods require the ...
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This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and...
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ISBN:
(纸本)9781467376839
This paper proposes a high-order sliding mode stator flux estimation method for asynchronous motor based on feedback linearization. Selecting the rotor flux as the system's output, the coordinate change matrix and the nonlinear state feedback are derived based on the affine nonlinear model of asynchronous motors by using the nonlinear system's differential geometry theory. Then the asynchronous motor system is input-output linearized and the feedback linearization model of asynchronous motors is obtained. On this basis, a high-order sliding mode rotor flux observer for asynchronous motor is designed to estimate rotor flux, and this paper analysis the stability of the designed observer, then we can calculate stator flux by using the rotor flux. The designed observer is applied to Direct Torque control (DTC) of the asynchronous motor and achieves a good control performance. Simulation results verify the effectiveness and feasibility of the proposed method.
This paper proposes an auxiliary model based hierarchical least squares algorithm for multivariable Box-Jenkins-like systems using the hierarchical identification principle. To improve the computational efficiency, a ...
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This paper proposes an auxiliary model based hierarchical least squares algorithm for multivariable Box-Jenkins-like systems using the hierarchical identification principle. To improve the computational efficiency, a multivariable system is decomposed into two subsystems by using the data filtering technique. Furthermore, this paper presents a data filtering based auxiliary model hierarchical least squares algorithm for multivariable Box-Jenkins-like systems. The simulation example shows that the proposed identification algorithms are effective.
Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system, active disturbance rejection controller (ADRC) solution was developed. First, a nonlinear mechanism model an...
Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system, active disturbance rejection controller (ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.
Many systems composed by several interacting subsystems are usually controlled by a distributed control framework. Distributed Model Predictive control(DMPC) strategy, in which each subsystem is controlled by a local ...
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ISBN:
(纸本)9781479947249
Many systems composed by several interacting subsystems are usually controlled by a distributed control framework. Distributed Model Predictive control(DMPC) strategy, in which each subsystem is controlled by a local MPC controller, has advantages of accommodating constraints, less computational cost and high flexibility. In order to improve the global performance and guarantee the system stability, a stabilized DMPC strategy is proposed in this paper, in which subsystems interact through inputs. At first, local initial feasible solutions are achieved based on a Minkowski functional to guarantee the local closed-loop system stabilization. And then the global optimal solutions are obtained through coordination strategy for the sake of reducing iteration time and accelerating the convergence speed efficiently. Finally, the accuracy and efficiency of the proposed scheme is put to test through simulation.
Many solder joints usually have to be traversed for spot welding robots, and reasonable welding sequence will improve welding efficiency. Intelligent optimization algorithms have been used to study path optimization p...
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In this paper, we investigate a class of two-stage optimisation problems for manufacturers in supply chains. The objective is to optimise production and outbound distribution. In the production part, the manufacturer ...
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The flow shop scheduling problem with limited buffers is widely existing in manufacturing systems. This article proposes a hybrid discrete harmony search algorithm for the problem to minimize total flow time. The algo...
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The flow shop scheduling problem with limited buffers is widely existing in manufacturing systems. This article proposes a hybrid discrete harmony search algorithm for the problem to minimize total flow time. The algorithm presents a novel discrete improvisation and a differential evolution scheme with the job-permutation-based representation. Moreover, the discrete harmony search is hybridized with the problem-dependent local search based on insert neighborhood to balance the global exploration and local exploitation. In addition, an orthogonal experiment design is employed to provide a receipt for turning the adjustable parameters of the algorithm. Comparisons based on the Taillard benchmarks indicate the superiority of the proposed algorithm in terms of effectiveness and efficiency.
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