Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511559
J. Petersen, J. Bendtsen, J. Stoustrup
In this paper we consider the problem of constructing a dynamical model for shopping center HVAC systems, suitable for proposing new high-level control designs to minimize energy consumption for the entire shopping center. We also propose a preliminary control design, to increase energy efficiency. The specific system considered in this paper, is a small section of a Danish shopping center, including three shops and their joint cooling system. The current control solution is investigated and described. A dynamical model is constructed as a grey-box RC-equivalent model, a suitable modeling paradigm for control-oriented models that also have to be scalable. Parameters for the model have been identified through a combination of measurement data from several days of live operation and table-lookup, calculating thermal properties based on shop dimensions. The resulting model is used to propose a preliminary control solution, to increase efficiency by utilizing a higher forward temperature. This is achieved through a control design that seeks to drive valve openings closer to fully open, while still allowing headroom for disturbance rejection. One of the main benefits of this design, is the low implementation barrier, as it does not require alterations to shop-local temperature controllers. Simulations show that the proposed control solution works as intended, without degrading the performance of the existing shop temperature control.
{"title":"Multi-Zone Modeling and Energy Efficient Control of Shopping Center Cooling","authors":"J. Petersen, J. Bendtsen, J. Stoustrup","doi":"10.1109/CCTA.2018.8511559","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511559","url":null,"abstract":"In this paper we consider the problem of constructing a dynamical model for shopping center HVAC systems, suitable for proposing new high-level control designs to minimize energy consumption for the entire shopping center. We also propose a preliminary control design, to increase energy efficiency. The specific system considered in this paper, is a small section of a Danish shopping center, including three shops and their joint cooling system. The current control solution is investigated and described. A dynamical model is constructed as a grey-box RC-equivalent model, a suitable modeling paradigm for control-oriented models that also have to be scalable. Parameters for the model have been identified through a combination of measurement data from several days of live operation and table-lookup, calculating thermal properties based on shop dimensions. The resulting model is used to propose a preliminary control solution, to increase efficiency by utilizing a higher forward temperature. This is achieved through a control design that seeks to drive valve openings closer to fully open, while still allowing headroom for disturbance rejection. One of the main benefits of this design, is the low implementation barrier, as it does not require alterations to shop-local temperature controllers. Simulations show that the proposed control solution works as intended, without degrading the performance of the existing shop temperature control.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130946242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511424
Masayuki Sato, D. Peaucelle
This paper tackles the design problem of Gain-Scheduled Output Feedback (GSOF) controllers for parametrically affine Linear Parameter-Varying (LPV) systems with inexactly provided scheduling parameters. This problem has been addressed in the last decade and several methods have already been proposed by introducing the over-bounding term for the discrepancy between the actual scheduling parameters and the provided ones. The introduced over-bounding term in literature is merely a sufficient condition for the original condition. To reduce the conservatism due to the sufficiency, we show a necessary and sufficient condition for over-bounding a Hermitian term via Elimination lemma, and apply it to GSOF controller design using inexact scheduling parameters. We address continuous-time as well as discrete-time cases. The effectiveness of our new method is well illustrated by continuous-time and discrete-time academic examples.
{"title":"A New Method for Gain-Scheduled Output Feedback Controller Design Using Inexact Scheduling Parameters","authors":"Masayuki Sato, D. Peaucelle","doi":"10.1109/CCTA.2018.8511424","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511424","url":null,"abstract":"This paper tackles the design problem of Gain-Scheduled Output Feedback (GSOF) controllers for parametrically affine Linear Parameter-Varying (LPV) systems with inexactly provided scheduling parameters. This problem has been addressed in the last decade and several methods have already been proposed by introducing the over-bounding term for the discrepancy between the actual scheduling parameters and the provided ones. The introduced over-bounding term in literature is merely a sufficient condition for the original condition. To reduce the conservatism due to the sufficiency, we show a necessary and sufficient condition for over-bounding a Hermitian term via Elimination lemma, and apply it to GSOF controller design using inexact scheduling parameters. We address continuous-time as well as discrete-time cases. The effectiveness of our new method is well illustrated by continuous-time and discrete-time academic examples.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132270153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511323
Boby Anditio, Angela Dian Andrini, Y. Y. Nazaruddin
Linear Quadratic Regulator is one of robust and optimal controller that mostly used for handling Multiple Input Multiple Output (MIMO) system. Although, an LQR controller can handle MIMO system, it is difficult to determine the optimal weighting matrices to achieve optimal performance. An alternative for optimizing these matrices is by introducing Particle Swarm Optimization (PSO) method. Furthermore, not all state variables of a system to be controlled are available for measurement due to lack of reliable sensors, which leads to the development of virtual sensing technology. This is another alternative in control application since it can replace actual real sensors with software approximation. In this paper, development of a PSO optimized LQR controller integrated with virtual sensing system will be introduced. The developed virtual sensor consists of a Diagonal Recurrent Neural Network (DRNN) and coupled with Extended Kalman Filter (EKF), which can estimate the unknown variables from the a priori known variables. The designed control strategy will be tested on a quadrotor model having 12 states variables. The simulation results show how the position of the quadrotor can be controlled optimally and satisfactorily. Comparison with PID based controller also confirms the superiority of the proposed control system.
{"title":"Integrating PSO Optimized LQR Controller with Virtual Sensor for Quadrotor Position Control","authors":"Boby Anditio, Angela Dian Andrini, Y. Y. Nazaruddin","doi":"10.1109/CCTA.2018.8511323","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511323","url":null,"abstract":"Linear Quadratic Regulator is one of robust and optimal controller that mostly used for handling Multiple Input Multiple Output (MIMO) system. Although, an LQR controller can handle MIMO system, it is difficult to determine the optimal weighting matrices to achieve optimal performance. An alternative for optimizing these matrices is by introducing Particle Swarm Optimization (PSO) method. Furthermore, not all state variables of a system to be controlled are available for measurement due to lack of reliable sensors, which leads to the development of virtual sensing technology. This is another alternative in control application since it can replace actual real sensors with software approximation. In this paper, development of a PSO optimized LQR controller integrated with virtual sensing system will be introduced. The developed virtual sensor consists of a Diagonal Recurrent Neural Network (DRNN) and coupled with Extended Kalman Filter (EKF), which can estimate the unknown variables from the a priori known variables. The designed control strategy will be tested on a quadrotor model having 12 states variables. The simulation results show how the position of the quadrotor can be controlled optimally and satisfactorily. Comparison with PID based controller also confirms the superiority of the proposed control system.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123159383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511506
Runa Linn Egeland, Astrid Lescoeur, Martin Olsen, M. Vasantharajan, S. Hovda, A. Pavlov
To accelerate the uptake of drilling automation in Oil and Gas industry, the Society of Petroleum Engineers (SPE) has organized an international student competition called Drillbotics. The main objective of the competition is to design a fully automated miniature drilling rig that could autonomously drill a vertical hole in an unknown formation of rocks of various properties as quickly as possible while maintaining equipment integrity as well as borehole quality. This paper describes the robotic drilling system developed by an NTNU team of drilling engineering students in 2017. The focus of the paper is on the automatic control system and the value of the obtained results for full-scale drilling and for education within drilling automation.
{"title":"Miniature Robotic Drilling Rig for Research and Education in Drilling Automation","authors":"Runa Linn Egeland, Astrid Lescoeur, Martin Olsen, M. Vasantharajan, S. Hovda, A. Pavlov","doi":"10.1109/CCTA.2018.8511506","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511506","url":null,"abstract":"To accelerate the uptake of drilling automation in Oil and Gas industry, the Society of Petroleum Engineers (SPE) has organized an international student competition called Drillbotics. The main objective of the competition is to design a fully automated miniature drilling rig that could autonomously drill a vertical hole in an unknown formation of rocks of various properties as quickly as possible while maintaining equipment integrity as well as borehole quality. This paper describes the robotic drilling system developed by an NTNU team of drilling engineering students in 2017. The focus of the paper is on the automatic control system and the value of the obtained results for full-scale drilling and for education within drilling automation.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133736719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511446
Manuel Rodriguez, H. Fathy
This paper explores the fuel savings that can be achieved by optimizing the speed trajectory of a heavy-duty truck traversing a sequence of intersections, under the assumptions that the behavior of the leading traffic and the timing of the traffic lights is known. Specifically, we look at the impact of corridor topology (i.e. green cycle lengths, phase offsets) on the expected fuel savings of the optimized trajectories. This is an important area of research because vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technology has the potential to allow autonomous vehicles to reduce fuel consumption, especially in urban and sub-urban driving scenarios. The literature tackles the problem of arterial corridor trajectory optimization, and shows the potential fuel saving benefits. However, previous research focuses primarily on passenger vehicles, and often limits its findings to specific case studies. The main contribution of this paper is to offer an estimate of the fuel saving potential - for heavy-duty trucks and under different corridor characteristics - of optimizing trajectories in an urban arterial with V2V and V21 capabilities.
{"title":"Speed Trajectory Optimization for a Heavy-Duty Truck Traversing Multiple Signalized Intersections: A Dynamic Programming Study","authors":"Manuel Rodriguez, H. Fathy","doi":"10.1109/CCTA.2018.8511446","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511446","url":null,"abstract":"This paper explores the fuel savings that can be achieved by optimizing the speed trajectory of a heavy-duty truck traversing a sequence of intersections, under the assumptions that the behavior of the leading traffic and the timing of the traffic lights is known. Specifically, we look at the impact of corridor topology (i.e. green cycle lengths, phase offsets) on the expected fuel savings of the optimized trajectories. This is an important area of research because vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technology has the potential to allow autonomous vehicles to reduce fuel consumption, especially in urban and sub-urban driving scenarios. The literature tackles the problem of arterial corridor trajectory optimization, and shows the potential fuel saving benefits. However, previous research focuses primarily on passenger vehicles, and often limits its findings to specific case studies. The main contribution of this paper is to offer an estimate of the fuel saving potential - for heavy-duty trucks and under different corridor characteristics - of optimizing trajectories in an urban arterial with V2V and V21 capabilities.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124284655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511632
Tsutomu Tashiro
In this paper, a fault tolerant control method is proposed for vehicles with steer-by-wire and in-wheel motors. In such vehicles, the lateral motion of the vehicle can be controlled by two means, the steering angle and driving force difference between the left and right wheels. Therefore, even if one of the steering or driving systems fail, the influence of the failure on the lateral motion of the vehicle can be compensated by the other system. The objective of this study is to achieve this function without detecting which system is faulty. This is realized by the disturbance observer following the yaw rate to the target value calculated from the target steering angle. The convergence to the target yaw rate is analyzed considering three cases: (i) both the steering and driving systems are normal, (ii) the steering system is faulty but the driving system is normal, and (iii) the steering system is normal but the driving system is faulty. The performance and effectiveness of the control is demonstrated through simulation.
{"title":"Fault Tolerant Control Using Disturbance Observer by Mutual Compensation of Steer-by-Wire and In-Wheel Motors","authors":"Tsutomu Tashiro","doi":"10.1109/CCTA.2018.8511632","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511632","url":null,"abstract":"In this paper, a fault tolerant control method is proposed for vehicles with steer-by-wire and in-wheel motors. In such vehicles, the lateral motion of the vehicle can be controlled by two means, the steering angle and driving force difference between the left and right wheels. Therefore, even if one of the steering or driving systems fail, the influence of the failure on the lateral motion of the vehicle can be compensated by the other system. The objective of this study is to achieve this function without detecting which system is faulty. This is realized by the disturbance observer following the yaw rate to the target value calculated from the target steering angle. The convergence to the target yaw rate is analyzed considering three cases: (i) both the steering and driving systems are normal, (ii) the steering system is faulty but the driving system is normal, and (iii) the steering system is normal but the driving system is faulty. The performance and effectiveness of the control is demonstrated through simulation.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"388 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116012280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511563
M. Cupelli, S. Bhanderi, S. K. Gurumurthy, A. Monti
This paper describes the application of the Port Controlled Hamiltonian Network for Modelling and Control of non-linear power system dynamics. Goal of this work is to propose a methodology for system level design for power electronics driven electrical networks able to guarantee large signal stability. Starting from a model-level modular approach, the system is defined using the interconnection concept. The paper focuses on a DC micro-grid scenario where several converters interact with a lumped load. Contrary to previous work, the load is modelled as a Constant Power Load (CPL) introducing new challenges in terms of system stability.
{"title":"A Structure Preserving Approach for Control of Future Distribution Grids and Microgrids Guaranteeing Large Signal Stability","authors":"M. Cupelli, S. Bhanderi, S. K. Gurumurthy, A. Monti","doi":"10.1109/CCTA.2018.8511563","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511563","url":null,"abstract":"This paper describes the application of the Port Controlled Hamiltonian Network for Modelling and Control of non-linear power system dynamics. Goal of this work is to propose a methodology for system level design for power electronics driven electrical networks able to guarantee large signal stability. Starting from a model-level modular approach, the system is defined using the interconnection concept. The paper focuses on a DC micro-grid scenario where several converters interact with a lumped load. Contrary to previous work, the load is modelled as a Constant Power Load (CPL) introducing new challenges in terms of system stability.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129448833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511615
M. Corno, Luca D'Avico, S. Savaresi
This work presents an anti-lock braking system (ABS) for bicycles equipped with hydraulic brakes. The systems employs an electrostatic hydraulic actuator capable of modulating the braking pressure when a loss of adherence is detected while behaving passively during nominal conditions. This paper describes the control architecture and proposes three wheel deceleration controllers: Bang-Bang (BB), Second Order Sliding Mode (SOSM) and Proportional Integral (PI). The features and tuning procedure of each one are discussed and experimentally validated. Appropriate cost functions are adopted to quantitatively compare the presented ABS control logics on different road conditions proving the greater robustness of the PI in terms of both performances and rider's comfort level.
{"title":"An Anti-Lock Braking System for Bicycles","authors":"M. Corno, Luca D'Avico, S. Savaresi","doi":"10.1109/CCTA.2018.8511615","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511615","url":null,"abstract":"This work presents an anti-lock braking system (ABS) for bicycles equipped with hydraulic brakes. The systems employs an electrostatic hydraulic actuator capable of modulating the braking pressure when a loss of adherence is detected while behaving passively during nominal conditions. This paper describes the control architecture and proposes three wheel deceleration controllers: Bang-Bang (BB), Second Order Sliding Mode (SOSM) and Proportional Integral (PI). The features and tuning procedure of each one are discussed and experimentally validated. Appropriate cost functions are adopted to quantitatively compare the presented ABS control logics on different road conditions proving the greater robustness of the PI in terms of both performances and rider's comfort level.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129457426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511396
Alen Turnwald, Steven Liu
This paper proposes an adaptive trajectory tracking control for an autonomous planar two-wheeled vehicle subject to nonholonomic constraints. Furthermore, the vehicle model considers a so-called positive trail that provides self-alignment of the steering in many vehicle types, including bicycles. The dynamics of the system is described in a port-Hamiltonian form that is suitable for systematic synthesis of passivity-based controllers. This also enables an explicit description of the system dynamics including the nonholonomic constraints by an ODE. By a generalized canonical transformation, an error system is determined preserving the port-Hamiltonian structure. This reduces the tracking problem to a stabilization problem that is solved by a further transformation. The controller is designed for a structure preserving simplified model and applied to the original model handling the omitted effects due to the simplification as disturbance. Finally, an adaptive controller is applied that, in the port-Hamiltonian framework, guarantees the asymptotic tracking of a given trajectory despite large parameter uncertainties.
{"title":"Adaptive Trajectory Tracking for a Planar Two-Wheeled Vehicle with Positive Trail","authors":"Alen Turnwald, Steven Liu","doi":"10.1109/CCTA.2018.8511396","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511396","url":null,"abstract":"This paper proposes an adaptive trajectory tracking control for an autonomous planar two-wheeled vehicle subject to nonholonomic constraints. Furthermore, the vehicle model considers a so-called positive trail that provides self-alignment of the steering in many vehicle types, including bicycles. The dynamics of the system is described in a port-Hamiltonian form that is suitable for systematic synthesis of passivity-based controllers. This also enables an explicit description of the system dynamics including the nonholonomic constraints by an ODE. By a generalized canonical transformation, an error system is determined preserving the port-Hamiltonian structure. This reduces the tracking problem to a stabilization problem that is solved by a further transformation. The controller is designed for a structure preserving simplified model and applied to the original model handling the omitted effects due to the simplification as disturbance. Finally, an adaptive controller is applied that, in the port-Hamiltonian framework, guarantees the asymptotic tracking of a given trajectory despite large parameter uncertainties.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128375545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-08-01DOI: 10.1109/CCTA.2018.8511363
G. Männel, C. Hoffmann, P. Rostalski
Respiratory support is one of the main components of almost any intensive care therapy. The trade-off between providing adequate oxygenation and removing carbon dioxide on the one hand while at the same time preventing or reducing ventilator-induced lung injuries is a key challenge for any respiratory therapist. Several decision support systems are available in modern medical ventilators to support clinicians with these challenging decisions, where safety is a core requirement. In this context, the present paper aims to contribute to the field by proposing a robust model predictive controller (MPC) to achieve adequate gas exchange by adjusting the minute volume ventilation within safe physiological limits. A physiological nonlinear two-compartment patient model is used in a robust MPC approach, which guarantees the evolution of the partial pressure of end-tidal carbon dioxide despite an unknown but bounded metabolic production rate and the bilinear dynamics. The latter are considered as additive disturbances and rejected by an additional feedback controller. Simulation results based on a physiological model exemplifies the applicability of the proposed approach.
{"title":"A Robust Model Predictive Control Approach to Intelligent Respiratory Support","authors":"G. Männel, C. Hoffmann, P. Rostalski","doi":"10.1109/CCTA.2018.8511363","DOIUrl":"https://doi.org/10.1109/CCTA.2018.8511363","url":null,"abstract":"Respiratory support is one of the main components of almost any intensive care therapy. The trade-off between providing adequate oxygenation and removing carbon dioxide on the one hand while at the same time preventing or reducing ventilator-induced lung injuries is a key challenge for any respiratory therapist. Several decision support systems are available in modern medical ventilators to support clinicians with these challenging decisions, where safety is a core requirement. In this context, the present paper aims to contribute to the field by proposing a robust model predictive controller (MPC) to achieve adequate gas exchange by adjusting the minute volume ventilation within safe physiological limits. A physiological nonlinear two-compartment patient model is used in a robust MPC approach, which guarantees the evolution of the partial pressure of end-tidal carbon dioxide despite an unknown but bounded metabolic production rate and the bilinear dynamics. The latter are considered as additive disturbances and rejected by an additional feedback controller. Simulation results based on a physiological model exemplifies the applicability of the proposed approach.","PeriodicalId":358360,"journal":{"name":"2018 IEEE Conference on Control Technology and Applications (CCTA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128231279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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