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16.31 Feedback Control Systems (MIT) 16.31 Feedback Control Systems (MIT)

Description

The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice. The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice.Subjects

feedback control | feedback control | feedback control system | feedback control system | state-space | state-space | controllability | controllability | observability | observability | transfer functions | transfer functions | canonical forms | canonical forms | controllers | controllers | pole-placement | pole-placement | optimal control | optimal control | Kalman filter | Kalman filterLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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In the ICE-Topics courses, various chemical engineering problems are presented and analyzed in an industrial context. Emphasis is on the integration of fundamentals with material property estimation, process control, product development, and computer simulation. Integration of societal issues, such as engineering ethics, environmental and safety considerations, and impact of technology on society are addressed in the context of case studies.The broad context for this ICE-Topics module is the commonsense notion that, when designing something, one should plan for the off-normal conditions that may occur. A continuous process is conceived and designed as a steady-state operation. However, the process must start up, shut down, and operate in the event of disturbances, and so the time-varying b In the ICE-Topics courses, various chemical engineering problems are presented and analyzed in an industrial context. Emphasis is on the integration of fundamentals with material property estimation, process control, product development, and computer simulation. Integration of societal issues, such as engineering ethics, environmental and safety considerations, and impact of technology on society are addressed in the context of case studies.The broad context for this ICE-Topics module is the commonsense notion that, when designing something, one should plan for the off-normal conditions that may occur. A continuous process is conceived and designed as a steady-state operation. However, the process must start up, shut down, and operate in the event of disturbances, and so the time-varying bSubjects

process control | process control | heat exchanger network | heat exchanger network | design | design | shower process | shower process | continuous chemical processes | continuous chemical processes | dynamic simulation | dynamic simulation | implementation | implementation | controllers | controllers | feedback structure | feedback structure | material model | material model | energy balance model | energy balance model | linearizing equations | linearizing equations | Relative Gain Array | Relative Gain Array | Disturbance Cost | Disturbance Cost | proportional control algorithm | proportional control algorithm | steady-state model | steady-state model | numerical linearization | numerical linearization | matrix operations | matrix operations | variable pairing | variable pairing | process simulators | process simulators | design process | design process | offset phenomenon | offset phenomenon | RGA | RGA | DC | DC | heat recovery scheme | heat recovery schemeLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see http://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata10.492-1 Integrated Chemical Engineering Topics I: Process Control by Design (MIT)

Description

In the ICE-Topics courses, various chemical engineering problems are presented and analyzed in an industrial context. Emphasis is on the integration of fundamentals with material property estimation, process control, product development, and computer simulation. Integration of societal issues, such as engineering ethics, environmental and safety considerations, and impact of technology on society are addressed in the context of case studies.The broad context for this ICE-Topics module is the commonsense notion that, when designing something, one should plan for the off-normal conditions that may occur. A continuous process is conceived and designed as a steady-state operation. However, the process must start up, shut down, and operate in the event of disturbances, and so the time-varying bSubjects

process control | heat exchanger network | design | shower process | continuous chemical processes | dynamic simulation | implementation | controllers | feedback structure | material model | energy balance model | linearizing equations | Relative Gain Array | Disturbance Cost | proportional control algorithm | steady-state model | numerical linearization | matrix operations | variable pairing | process simulators | design process | offset phenomenon | RGA | DC | heat recovery schemeLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata10.492-1 Integrated Chemical Engineering Topics I: Process Control by Design (MIT)

Description

In the ICE-Topics courses, various chemical engineering problems are presented and analyzed in an industrial context. Emphasis is on the integration of fundamentals with material property estimation, process control, product development, and computer simulation. Integration of societal issues, such as engineering ethics, environmental and safety considerations, and impact of technology on society are addressed in the context of case studies.The broad context for this ICE-Topics module is the commonsense notion that, when designing something, one should plan for the off-normal conditions that may occur. A continuous process is conceived and designed as a steady-state operation. However, the process must start up, shut down, and operate in the event of disturbances, and so the time-varying bSubjects

process control | heat exchanger network | design | shower process | continuous chemical processes | dynamic simulation | implementation | controllers | feedback structure | material model | energy balance model | linearizing equations | Relative Gain Array | Disturbance Cost | proportional control algorithm | steady-state model | numerical linearization | matrix operations | variable pairing | process simulators | design process | offset phenomenon | RGA | DC | heat recovery schemeLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

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See all metadata16.31 Feedback Control Systems (MIT)

Description

The goal of this subject is to teach the fundamentals of control design and analysis using state-space methods. This includes both the practical and theoretical aspects of the topic. By the end of the course, students should be able to design controllers using state-space methods and evaluate whether these controllers are "robust," that is, if they are likely to work well in practice.Subjects

feedback control | feedback control system | state-space | controllability | observability | transfer functions | canonical forms | controllers | pole-placement | optimal control | Kalman filterLicense

Content within individual OCW courses is (c) by the individual authors unless otherwise noted. MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License (Attribution-NonCommercial-ShareAlike). For further information see https://ocw.mit.edu/terms/index.htmSite sourced from

https://ocw.mit.edu/rss/all/mit-allarchivedcourses.xmlAttribution

Click to get HTML | Click to get attribution | Click to get URLAll metadata

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