In offshore oil production, the occurrence of oscillatory flow regime that causes instabilities is very common, resulting in production losses, occasioned by shutdown, and environmental fine due to the violation of qu...
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In offshore oil production, the occurrence of oscillatory flow regime that causes instabilities is very common, resulting in production losses, occasioned by shutdown, and environmental fine due to the violation of quality requirements. In this work, we evaluate the capability of a nonlinear model predictive controller (NMPC) integrated with an optimization layer to maximize production, minimize energy consumption and mitigate impacts caused by slug flow regimes present in offshore processes. The objective function used in the optimization problem is formulated with the oil and gas production as profit and energy consumption as cost. The degree of freedom of the optimization problem are the topside pressure in the processing plant and the gas-lift injection flow rate in each well. The constraints are the BSW (Basic and Water sediments) and TOG (Grease and Oil content) specifications, capacity of the compression unit and the limits of gas-lift injection, in each well and total flow. The simulated offshore production system encompasses the subsea well, the flowline, the riser, and the topside platform. The subsea part, with four wells, was modeled in OLGA simulator and integrated with a simulated platform in EMSO simulator. The control problem was formulated with nine manipulated variable: gas lift injection and opening choke valve in each well, and interface level in the separator drum. The results show that the controller can reject the slug disturbances, keeping the BSW and TOG inside the limits and driving the process to the setpoints coming from the optimization layer. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents an efficient algorithm to control and reduce the sub-threshold leakage current at nanoscale transistor level. The proposed algorithm called fast input vector algorithm (FIVA) is based on input vect...
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This paper presents an efficient algorithm to control and reduce the sub-threshold leakage current at nanoscale transistor level. The proposed algorithm called fast input vector algorithm (FIVA) is based on input vector control (IVC) technique. simulation results showed that the proposed algorithm is faster than other algorithms implemented using the same technique. The speed of the algorithm increases by increasing the number of transistors comparing with other algorithms having the same target, as well as by increasing the number of input vectors in the circuit. The proposed algorithm showed it is capable to save more power dissipation than other algorithms by reducing and controlling the sub-threshold leakage current when the transistor is in the off state. These results and other comparison results in the rest of the paper validate the efficiency of the proposed algorithm.
Biped controller design pursues two fundamental goals;simulated walking should look human-like and robust against perturbation while maintaining its balance. Normal gait is a pattern of walking that humans normally ad...
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Biped controller design pursues two fundamental goals;simulated walking should look human-like and robust against perturbation while maintaining its balance. Normal gait is a pattern of walking that humans normally adopt in undisturbed situations. It has previously been postulated that normal gait is more energy efficient than abnormal or impaired gaits. However, it is not clear whether normal gait is also superior to abnormal gait patterns with respect to other factors, such as stability. Understanding the correlation between gait and stability is an important aspect of biped controller design. We studied this issue in two sets of experiments with human participants and a simulated biped. The experiments evaluated the degree of resilience to external pushes for various gait patterns. We identified four gait factors that affect the balance-recovery capabilities of both human and simulated walking. We found that crouch gait is significantly more stable than normal gait against lateral push. Walking speed and the timing/magnitude of disturbance also affect gait stability. Our work would provide a potential way to compare the performance of biped controllers by normalizing their output gaits and improve their performance by adjusting these decisive factors.
Biped controller design pursues two fundamental goals;simulated walking should look human-like and robust against perturbation while maintaining its balance. Normal gait is a pattern of walking that humans normally ad...
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ISBN:
(纸本)9781450333313
Biped controller design pursues two fundamental goals;simulated walking should look human-like and robust against perturbation while maintaining its balance. Normal gait is a pattern of walking that humans normally adopt in undisturbed situations. It has previously been postulated that normal gait is more energy efficient than abnormal or impaired gaits. However, it is not clear whether normal gait is also superior to abnormal gait patterns with respect to other factors, such as stability. Understanding the correlation between gait and stability is an important aspect of biped controller design. We studied this issue in two sets of experiments with human participants and a simulated biped. The experiments evaluated the degree of resilience to external pushes for various gait patterns. We identified four gait factors that affect the balance-recovery capabilities of both human and simulated walking. We found that crouch gait is significantly more stable than normal gait against lateral push. Walking speed and the timing/magnitude of disturbance also affect gait stability. Our work would provide a potential way to compare the performance of biped controllers by normalizing their output gaits and improve their performance by adjusting these decisive factors.
This paper focuses on the method of load flow study of power bus system using LabVIEW. Here National instruments Software Multisim 12.0 and LabVIEW 2011 are used together to simulate a 4-Bus Power System and using co-...
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ISBN:
(纸本)9781467309349
This paper focuses on the method of load flow study of power bus system using LabVIEW. Here National instruments Software Multisim 12.0 and LabVIEW 2011 are used together to simulate a 4-Bus Power System and using co-simulation of both, parameters of all buses like Voltage, Current, Active and Reactive Power and Power factor has been observed. This approach simplifies the method of study of effect of change in bus parameters over load flow problems as it avoid long and tedious process and hence will be quite useful for power system engineers.
This paper describes dynamic modeling and simulation results of a small wind-fuel cell hybrid energy system. The system consists of a 400 W wind turbine, a proton exchange membrane fuel cell (PEMFC), ultracapacitors, ...
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This paper describes dynamic modeling and simulation results of a small wind-fuel cell hybrid energy system. The system consists of a 400 W wind turbine, a proton exchange membrane fuel cell (PEMFC), ultracapacitors, an electrolyzer, and a power converter. The output fluctuation of the wind turbine due to wind speed variation is reduced using a fuel cell stack. The load is supplied from the wind turbine with a fuel cell working in parallel. Excess wind energy when available is converted to hydrogen using an electrolyzer for later use in the fuel cell. Ultracapacitors and a power converter unit are proposed to minimize voltage fluctuations in the system and generate AC voltage. Dynamic modeling of various components of this small isolated system is presented. Dynamic aspects of temperature variation and double layer capacitance of the fuel cell are also included. PID type controllers are used to control the fuel cell system. SIMULINK(TM) is used for the simulation of this highly nonlinear hybrid energy system. System dynamics are studied to determine the voltage variation throughout the system. Transient responses of the system to step changes in the load current and wind speed in a number of possible situations are presented. Analysis of simulation results and limitations of the wind-fuel cell hybrid energy system are discussed. The voltage variation at the output was found to be within the acceptable range. The proposed system does not need conventional battery storage. It may be used for off-grid power generation in remote communities. (C) 2004 Elsevier Ltd. All rights reserved.
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