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Full-Text Articles in Science and Technology Studies
Formulation Of A Model Predictive Control Algorithm To Enhance The Performance Of A Latent Heat Solar Thermal System, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Paul Cooper, Marco Perino
Formulation Of A Model Predictive Control Algorithm To Enhance The Performance Of A Latent Heat Solar Thermal System, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Paul Cooper, Marco Perino
Faculty of Engineering and Information Sciences - Papers: Part B
Model predictive control has proved to be a promising control strategy for improving the operational performance of multi-source thermal energy generation systems with the aim of maximising the exploitation of on-site renewable resources. This paper presents the formulation and implementation of a model predictive control strategy for the management of a latent heat thermal energy storage unit coupled with a solar thermal collector and a backup electric heater. The system uses an innovative Phase Change Material slurry for both the heat transfer fluid and storage media. The formulation of a model predictive controller of such a closed-loop solar system is …
Predicting The Influence Of Hip And Lumbar Flexibility On Lifting Motions Using Optimal Control, Manish Sreenivasa, Matthew Millard, Idsart Kingma, Jaap H. Van Dieen, Katja Mombaur
Predicting The Influence Of Hip And Lumbar Flexibility On Lifting Motions Using Optimal Control, Manish Sreenivasa, Matthew Millard, Idsart Kingma, Jaap H. Van Dieen, Katja Mombaur
Faculty of Engineering and Information Sciences - Papers: Part B
Computational models of the human body coupled with optimization can be used to predict the influence of variables that cannot be experimentally manipulated. Here, we present a study that predicts the motion of the human body while lifting a box, as a function of flexibility of the hip and lumbar joints in the sagittal plane. We modeled the human body in the sagittal plane with joints actuated by pairs of agonist-antagonist muscle torque generators, and a passive hamstring muscle. The characteristics of a stiff, average and flexible person were represented by co-varying the lumbar range-of-motion, lumbar passive extensor-torque and the …
Joint Transmission Power Control And Relay Cooperation For Wban Systems, Hongyun Zhang, Farzad Safaei, Le Chung Tran
Joint Transmission Power Control And Relay Cooperation For Wban Systems, Hongyun Zhang, Farzad Safaei, Le Chung Tran
Faculty of Engineering and Information Sciences - Papers: Part B
Improving transmission reliability is a crucial challenge for Wireless Body Area Networks (WBANs) because of the instability of channel conditions and the stringent Packet Loss Ratio (PLR) requirement for many WBANs applications. On the other hand, limited by the size of WBAN nodes, the energy consumption of WBAN nodes should be minimized. In this paper, we jointly consider transmission power control, dynamic slot scheduling and two-hop cooperative mechanism and propose an Autocorrelation-based Adaptive Transmission (AAT) scheme that achieves a better trade-off between transmission reliability and energy consumption for WBAN systems. The new scheme is designed to be compatible with IEEE …
Autocorrelation Based Transmission Power Control In Wbans, Hongyun Zhang, Farzad Safaei, Le Chung Tran
Autocorrelation Based Transmission Power Control In Wbans, Hongyun Zhang, Farzad Safaei, Le Chung Tran
Faculty of Engineering and Information Sciences - Papers: Part B
In this paper, we propose an autocorrelation-based transmission power control (A-TPC) method to increase the transmission reliability and reduce the energy consumption. In A-TPC, data packets from multiple sensor nodes are scheduled in the TDMA-fashion. The transmission power level and the slot scheduling are jointly optimized based on a temporal autocorrelation model. The channel datasets collected from real WBAN daily scenarios are imported into our simulation model to evaluate the performance of A-TPC. Simulation results demonstrate that A-TPC significantly improves the transmission reliability and reduces the energy consumption.
Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad
Model Predictive Control (Mpc) For Enhancing Building And Hvac System Energy Efficiency: Problem Formulation, Applications And Opportunities, Gianluca Serale, Massimo Fiorentini, Alfonso Capozzoli, Daniele Bernardini, Alberto Bemporad
Faculty of Engineering and Information Sciences - Papers: Part B
In the last few years, the application of Model Predictive Control (MPC) for energy management in buildings has received significant attention from the research community. MPC is becoming more and more viable because of the increase in computational power of building automation systems and the availability of a significant amount of monitored building data. MPC has found successful implementation in building thermal regulation, fully exploiting the potential of building thermal mass. Moreover, MPC has been positively applied to active energy storage systems, as well as to the optimal management of on-site renewable energy sources. MPC also opens up several opportunities …