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Land-island transport is an important component of waterway transportation and it is closely related to the island residents' living, working and the development of island economy. At present, there is no literature about fleet planning of land-island transport. The main purpose of the paper is to establish a model of fleet planning of land-island transport. By using the linear programming method,...
To the positions of customer order decoupling point on leagile supply chain, according to the resource capacity of supply chain members, a kind of decision making model represented by CODP on supply chain are established. The decision making model was formally described in mathematical language to make it readily manipulated by computers through using the polychromatic sets. Then, using the reasoning...
The outbreak of water-bloom is the result of coactions of water body's physical, chemical, biologic and other progresses. It is very difficult to establish uniform mathematical model to efficiently evaluate and predict the water-bloom because of the water body's biodiversity and nonlinearity. Based on the foundation of research in the mechanism of water-bloom and the main component analysis in rivers...
Virtual flight testing can replace part of the flight test to validate the real aircraft flying qualities and performance. This paper introduces the concept of the virtual flight testing, proposes a kind of structure of a virtual flight testing system, and introduces the composition and work process of VFT system. The virtual flight testing system is based on the aircraft virtual prototyping or flight...
In the continuous steel induction heating process, it is of great importance to control the surface temperature accurately. In this paper, induction heating process of PC steel bar with different carbon content is simulated. The experimental models of electrical resistivity and thermal conductivity of carbon steel depending on temperature and carbon content have been used in induction heating process...
For the high-performance and low-cost AC servo system, the electrocircuit and control software are designed in this paper. Combined with the arithmetic of vector control, the NC instruction is embedded in the control model. Also, the NC instruction, machine loop and current loop are successfully achieved in the same control circle, and the time of control circle is determined in the 60 us. The response...
According to the requirements of movement characteristics during the opening and closing of 40.5 kV vacuum circuit breaker on operating mechanism, this paper designed a new type of motor drive operating mechanism-cylinder linear induction motor (C-LIM) drive mechanism. Based on the characteristics of short trip, strong anti-force, high speed in mechanism, analysis of the motor mechanism movement characteristics...
The linear servo motor drive of high-voltage circuit breaker is designed to realize the opening and closing operation, by which the quicker response ability and the better performance can be obtained. The control system simulation model is developed. Then the hardware of the controller and the control strategy of moving contact based on DSP are designed. Control algorithm of Single neuron PID and...
Due to the randomicity and instability of the wind energy, the wind power generation system has some robust control problems, such as the parameter uncertainties, disturbance rejection, imprecise model, and so on. Based on the analysis of the wind turbine operation characteristics, the generator speed has to be rapidly adjusted with the wind speed changing to capture the maximum power. For the variable...
A synchronization control approach for unified chaotic system with uncertainties and time delay is presented using passive control theory. The stability of the synchronization error system is studied so that the unified chaotic system can be synchronized with uncertainties and channel time delay. Because the chaotic trajectory is limitary and the nonlinear function of the unified chaotic system satisfies...
In this paper, a method to coordinate multi-decentralized model predictive controllers(DMMPC), which is used as a strategy to control the integrated plant through decomposing the total system model into different functional sub-models, is proposed. Usually, an integrated plant is also called a large scale systems. The main aim is to relieve the expensive computation load and for improving the flexibility...
Selecting appropriate coefficients often requires large expensive computation duty, manual designating the coefficients in weight matrix in model predictive control (MPC) algorithm often leads infeasible control results. In this paper, a pragmatic method used to efficiently select weight matrix coefficients in MPC objective function is proposed. The controllability and the observability Gramians of...
With the development of fault prognostics, remaining life prediction is becoming more and more important as a crucial technology of prognostics. In this paper, an improved Markov model is proposed for remaining life prediction. Fuzzy c-means (FCM) algorithm is employed to perform states division of Markov model in order to avoid the uncertainty of states division depending on personal experience....
In this paper, a multi-objective control algorithm is proposed for non-Gaussian stochastic batch process control and quality monitoring. As for batch process control, the controllable system parameters shall meet the required levels in pre-specified times so that an intermediate product satisfies the required product quality attributes. As such, a joint problem of output and so called Dwelling time...
In this paper, nonlinear feedback control of a distributed process is considered by using robust right coprime factorization approach. The distributed process model is developed. The model includes a water level process model of single tank and a water flow process model for twin-tank. Then, robust right coprime factorization based nonlinear control is proposed for the distributed process consisting...
This paper considers the multi-processor scheduling problem with unequal release dates to minimize total completion times. This problem is proved to be NP-hard in the strong sense. Traditional forward algorithms base on the heuristic rule SPT (shortest processing time first) and ERD (earliest release date first) for the problem are analyzed. A backward algorithm BA is proposed to avoid the limitation...
Production scheduling is critical for manufacturing system. Dispatching rules are usually applied dynamically to schedule the job in the dynamic job-shop. The paper presents an adaptive iterative scheduling algorithm that operates dynamically to schedule the job in the dynamic job-shop. In order to get adaptive behavior, the reinforcement learning system is done with the phased Q-learning by defining...
In this paper, it is firstly noted that the scheduling of a semiconductor wafer fabrication facility (fab) has its special complexities, such as large scale, a mixed of different processing types, unbalanced production facilities, short-term efficient scheduling period, non-zero state at the decision point time, etc. Secondly, the scheduling model for a wafer fab, composed of a machine set, a task...
The single machine scheduling problem subject to random machine breakdowns is addressed in this paper, where jobs arrive at system dynamically. A modified version of optimized surrogate measure heuristic (OSMH) developed by Mehta and Uzsoy (1999) is proposed, i.e., Modified optimized surrogate measure heuristic (MOSMH). The idea behind the heuristic MOSMH is to make full use of the idle times probably...
A new classified scheduling method based on the controlled Petri net and GASA was proposed to the job-shop scheduling problem (JSP) with multiple disturbances constrained by machines, workers. Firstly, a Petri net with controller is modeled, it not only has the modeling capability of a traditional Petri net, but also it can depict system characteristics, such as equipment maintenance, different types...
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