$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

Method of multivariable predictive control utilizing range control

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/46
  • G05B-013/02
출원번호 US-0009491 (1993-01-26)
발명자 / 주소
  • Lu Zhuxin J. (Glendale AZ) MacArthur J. Ward (Scottsdale AZ) Horn Brian C. (Phoenix AZ)
출원인 / 주소
  • Honeywell Inc. (Minneapolis MN 02)
인용정보 피인용 횟수 : 127  인용 특허 : 0

초록

A process control system which includes at least one manipulated variable and at least one controlled variable, provides a method for robust control of a process. Predetermined constraints of the manipulated variables and the controlled variables, and the present values of the manipulated variables

대표청구항

In a process control system having a controller for providing robust control to a process, the process further having at least one manipulated variable and at least one process variable, a method for providing the robust control of a process, comprising the steps of: a) initializing the controller t

이 특허를 인용한 특허 (127)

  1. Miller, John Philip, Abnormal situation prevention in a heat exchanger.
  2. Eryurek,Evren; Kavaklioglu,Kadir; Miller,John P., Abnormal situation prevention in a process plant.
  3. Blevins, Terrence L.; Wojsznis, Wilhelm K., Adaptation of advanced process control blocks in response to variable process delay.
  4. Kavaklioglu,Kadir; Dillon,Steven R.; Rome,Gregory H.; Westbrock,Jon, Aggregation of asset use indices within a process plant.
  5. Nordh, Pernell E. T., Apparatus and method for medication delivery using single input-single output (SISO) model predictive control.
  6. Renfro, Jeffrey G.; Lu, Joseph Z., Apparatus and method for model predictive control (MPC) of a nonlinear process.
  7. van Schie, Adrianus Leonardus David, Apparatus and method for product movement planning to support safety monitoring in inventory management systems.
  8. Lu, Joseph Z., Apparatus and method for real-time sequential quadratic programming in industrial process control systems.
  9. Eryurek, Evren; Harris, Stuart; Hokeness, Scott N.; Reeves, Todd W.; Garvey, III, Raymond E., Asset optimization reporting in a process plant.
  10. Eryurek, Evren; Harris, Stuart; Hokeness, Scott Nels; Reeves, Todd; Garvey, III, Raymond E., Asset optimization reporting in a process plant.
  11. Fan, Junqiang; Stewart, Gregory E., Automated tuning of large-scale multivariable model predictive controllers for spatially-distributed processes.
  12. Fan, Junqiang; Stewart, Gregory E., Automatic tuning method for multivariable model predictive controllers.
  13. Eryurek, Evren; Harris, Stuart; Marschall, Lester (David); Hokeness, Scott Nels, Automatic work order/parts order generation and tracking.
  14. Drees, Kirk H.; Wenzel, Michael J.; Turney, Robert D., Building control systems with optimization of equipment life cycle economic value while participating in IBDR and PBDR programs.
  15. Drees, Kirk H.; Wenzel, Michael J.; Turney, Robert D., Building management system with electrical energy storage optimization based on statistical estimates of IBDR event probabilities.
  16. Stewart,Gregory E.; Shahed,Syed M.; Kolavennu,Soumitri N., Calibration of engine control systems.
  17. Lu, Joseph Z., Cascaded model predictive control (MPC) approach for plantwide control and optimization.
  18. Eryurek, Evren, Cavitation detection in a process plant.
  19. Mueller, Jon T.; Carmody, Joseph P., Central plant with coordinated HVAC equipment staging across multiple subplants.
  20. Chu, Danlei; Gheorghe, Cristian, Closed-loop alignment identification with adaptive probing signal design technique for web manufacturing or processing systems.
  21. Chu, Danlei; Gheorghe, Cristian; Backstrom, Johan, Closed-loop monitoring and identification of CD alignment for papermaking processes.
  22. Thiele,Dirk; Blevins,Terry; Ottenbacher,Ron; Wojsznis,Wilhelm, Configuration and viewing display for an integrated model predictive control and optimizer function block.
  23. Eryurek, Evren; Kavaklioglu, Kadir; Miller, John P., Configuration system and method for abnormal situation prevention in a process plant.
  24. Wojsznis,Wilhelm; Blevins,Terrence; Nixon,Mark; Wojsznis,Peter, Constraint and limit feasibility handling in a process control system optimizer.
  25. Lu Z. Joseph, Controllers that determine optimal tuning parameters for use in process control systems and methods of operating the same.
  26. Eryurek, Evren; Schleiss, Trevor D., Creation and display of indices within a process plant.
  27. Eryurek,Evren; Schleiss,Trevor D., Creation and display of indices within a process plant.
  28. Eryurek,Evren; Kavaklioglu,Kadir; Miller,John P., Data presentation system for abnormal situation prevention in a process plant.
  29. Eryurek,Evren; Schleiss,Trevor D.; Harris,Stuart, Data sharing in a process plant.
  30. Eryurek,Evren; Harris,Stuart; Hokeness,Scott N., Data visualization within an integrated asset data system for a process plant.
  31. Dillon,Steven R., Delivery of process plant notifications.
  32. Keyes, IV, Marion A.; Nixon, Mark J.; Blevins, Terrence Lynn, Economic calculations in a process control system.
  33. Keyes, Marion A.; Nixon, Mark J.; Blevins, Terrence Lynn, Economic calculations in a process control system.
  34. Carrette, Pierre Christian Marie; Linn, Richard Eugene; Venkat, Aswin Nataraj, Economics-based coordination of advanced process control and real-time optimization.
  35. Wenzel, Michael J.; Lenhardt, Brett M.; Drees, Kirk H., Electrical energy storage system with battery power setpoint optimization based on battery degradation costs and expected frequency response revenue.
  36. Wenzel, Michael J.; Drees, Kirk H., Electrical energy storage system with battery power setpoint optimization using predicted values of a frequency regulation signal.
  37. Wenzel, Michael J.; Drees, Kirk H.; ElBsat, Mohammad N., Electrical energy storage system with variable state-of-charge frequency response optimization.
  38. Wenzel, Michael J.; Lenhardt, Brett M.; Drees, Kirk H., Energy storage controller with battery life model.
  39. Eryurek, Evren; Ramachandran, Ram; Scott, Cindy Alsup; Schleiss, Trevor Duncan, Enhanced fieldbus device alerts in a process control system.
  40. Eryurek, Evren; Westbrock, Jon Dale; Llewellyn, Craig Thomas, Enhanced hart device alerts in a process control system.
  41. Braatz Richard D. ; VanAntwerp Jeremy G., Fast model predictive ellipsoid control process.
  42. Gear C. William (Princeton NJ), Feature grouping in moving bodies in an image.
  43. Eryurek, Evren; Dewar, Ian Bryce, Fiducial technique for estimating and using degradation levels in a process plant.
  44. Miller, John Philip, Field device with capability of calculating digital filter coefficients.
  45. Reeves, Todd; Hilemon, Christopher; Walton, Keith, Generation of data indicative of machine operational condition.
  46. Miller, John Philip, Heat exchanger fouling detection.
  47. Wenzel, Michael J.; Turney, Robert D.; Drees, Kirk H.; Asmus, Matthew J., High level central plant optimization.
  48. Wenzel, Michael J.; Turney, Robert D., Incorporating a load change penalty in central plant optimization.
  49. Eryurek, Evren; Llewellyn, Craig Thomas; Marschall, Lester David; Westbrock, Jon D.; Harris, Stuart A.; Hokeness, Scott N., Integrated alert generation in a process plant.
  50. Eryurek, Evren; Krouth, Terrance F.; Lansing, Jane E., Integrated configuration system for use in a process plant.
  51. Eryurek, Evren; Harris, Stuart Andrew; Hokeness, Scott Nels; Marschall, Lester David, Integrated device alerts in a process control system.
  52. Mehta,Ashish; Wojsznis,Peter; Wojsznis,Wilhelm K.; Blevins,Terrence L.; Thiele,Dirk; Ottenbacher,Ron; Nixon,Mark, Integrated model predictive control and optimization within a process control system.
  53. Wojsznis,Wilhelm; Blevins,Terry; Nixon,Mark, Integrated model predictive control and optimization within a process control system.
  54. Eryurek, Evren; Hokeness, Scott N.; Harris, Stuart; Dillon, Steven; Rome, Greg; Westbrock, Jon; Kavaklioglu, Kadir, Integrated navigational tree importation and generation in a process plant.
  55. Wojsznis, Wilhelm K.; Blevins, Terrence L.; Seeman, Richard C.; Nixon, Mark J., Integrated optimal model predictive control in a process control system.
  56. Armstrong, Michael; French, Mat, Lifing and performance optimization limit management for turbine engine.
  57. Asmus, Matthew J.; Turney, Robert D., Low level central plant optimization.
  58. Kempf,Karl; Smith,Kirk; Toperzer,Beverly; Braun,Martin W.; Rivera,Daniel E.; Wang,Wenlin, Managing supply chains with model predictive control.
  59. Kephart, Richard W.; Sanchez, Herman; Abruzere, Eugene, Method and apparatus for deploying industrial plant simulators using cloud computing technologies.
  60. Boe, Eugene; Piche, Stephen; Martin, Gregory D., Method and apparatus for minimizing error in dynamic and steady-state processes for prediction, control, and optimization.
  61. Armstrong, Steve; Hokeness, Scott N.; Di Giovanni, Augustine, Method and apparatus for monitoring and performing corrective measures in a process plant using monitoring data with corrective measures data.
  62. Nixon,Mark J.; Keyes, IV,Marion A.; Schleiss,Trevor D.; Gudaz,John A.; Blevins,Terrence L., Method and apparatus for performing a function in a plant using process performance monitoring with process equipment monitoring and control.
  63. Armstrong, Stephen; Hokeness, Scott N.; Di Giovanni, Augustine, Method and apparatus for performing a function in a process plant using monitoring data with criticality evaluation data.
  64. Opheim,Greg; Sigtermans,Walt; Wilson,Sean, Method and apparatus for providing help information in multiple formats.
  65. He, Ning; Shi, Dawei; Forbes, Michael; Backstrom, Johan U.; Chen, Tongwen, Method and apparatus for robust tuning of model-based process controllers used with uncertain multiple-input, multiple-output (MIMO) processes.
  66. Miller, John P., Method and system for detecting abnormal operation of a level regulatory control loop.
  67. Scott,Cindy; Havekost,Robert; Reeves,Todd, Method and system for integrated alarms in a process control system.
  68. Miller, John Philip, Method and system for modeling a process variable in a process plant.
  69. Berkooz, Oded; Evenor, Moshe; Roach, Robert Landon, Method for finding optimal set-points for machines and processes.
  70. Dobrowski, Patrick M.; Hokeness, Scott N.; Middendorf, Fred G., Method for launching applications.
  71. Havener, John P.; Piche, Stephen; Semrad, Donald; Stephenson, Brian K., Method for optimizing a plant with multiple inputs.
  72. Dubay, Rickey; Hernandez, Jose Mauricio; Abu-Ayyad, Ma'moun, Method of multi-dimensional nonlinear control.
  73. Dobrowski,Pat; Wilson,Sean; Hong,Nghy; Snyder,Eric, Methods and apparatus for importing device data into a database system used in a process plant.
  74. Zheng,Qinsheng; Harmse,Magiel J.; Rasmussen,Kent; McIntyre,Blaine, Methods and articles for detecting, verifying, and repairing collinearity in a model or subsets of a model.
  75. Chalermkraivuth, Kete Charles; Chakraborty, Anindya; Clark, Michael Craig; Messmer, Richard Paul, Methods and systems for analytical-based multifactor Multiobjective portfolio risk optimization.
  76. Chalermkraivuth, Kete Charles; Kiaer, Carol Lynn; Bollapragada, Srinivas; Chakraborty, Anindya, Methods and systems for analytical-based multifactor multiobjective portfolio risk optimization.
  77. Miller, John P.; Kant, Ravi, Methods and systems for detecting deviation of a process variable from expected values.
  78. Miller, John P.; Kant, Ravi, Methods and systems for detecting deviation of a process variable from expected values.
  79. Fuller,James W., Model predictive controller with life extending control.
  80. Miller, John P., Modeling a process using a composite model comprising a plurality of regression models.
  81. Berkowitz, Peter N.; Poe, William A.; Smith, Paul Burnham, Multivariable control method and system without detailed prediction model.
  82. Stewart, Gregory E.; Escargega, John A., Multivariable controller for coordinated control of computing devices and building infrastructure in data centers or other locations.
  83. Guerlain, Stephanie A. E.; Jamieson, Gregory A.; Bullemer, Peter T., Multivariable process matrix display and methods regarding same.
  84. Lundeberg, Marcus R.; Samardzija, Nikola; Miller, John P., Multivariate monitoring and diagnostics of process variable data.
  85. Thiele, Dirk; Wojsznis, Wilhelm K., On-line adaptive model predictive control in a process control system.
  86. Thiele,Dirk; Wojsznis,Wilhelm K., On-line adaptive model predictive control in a process control system.
  87. Samardzija, Nikola; Miller, John Philip, On-line monitoring and diagnostics of a process using multivariate statistical analysis.
  88. Samardzija, Nikola; Miller, John Philip, On-line multivariate analysis in a distributed process control system.
  89. Zheng, Qingsheng Quinn; Keenan, Michael R.; Harmse, Magiel J., Online control calculation for models containing near colinearity and uncertainty.
  90. Dillon, Steven R.; Rome, Gregory H., Personalized plant asset data representation and search system.
  91. Gallestey,Eduardo Alvarez; Stothert,Alec, Process control system.
  92. Z. Joseph Lu, Process facility control systems using an efficient prediction form and methods of operating the same.
  93. Jamieson, Gregory A.; Guerlain, Stephanie A. E.; Bullemer, Peter T., Process variable gauge interface and methods regarding same.
  94. Eryurek, Evren; Smith, Ross Stephen; Dewar, Ian Bryce; Raynor, Stuart Brian; Minto, Jeffrey Alan, Remote analysis of process control plant data.
  95. Dean E. Kassmann ; Thomas A. Badgwell ; Robert B. Hawkins, Robust steady-state target calculation for model predictive control.
  96. Kassmann, Dean E., Robust steady-state target calculation for model predictive control.
  97. Miller, John P., Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process.
  98. Miller, John Philip, Simplified algorithm for abnormal situation prevention in load following applications including plugged line diagnostics in a dynamic process.
  99. Balentine, James R.; Dicaire, Andre A.; Scott, Cindy A.; Lattimer, Donald Robert; Schibler, Kenneth; Shepard, John R.; Jundt, Larry O., Software lockout coordination between a process control system and an asset management system.
  100. Miller, John P.; Lundeberg, Marcus R., Statistical signatures used with multivariate analysis for steady-state detection in a process.
  101. Lu, Joseph; Morningred, John Duane, System and method for continuous supply chain control and optimization using stochastic calculus of variations approach.
  102. Sidhu,Manpreet S.; Van Fleet,Richard J.; Dion,Michel R., System and method for controlling a thermo-mechanical wood pulp refiner.
  103. Heavner, III, Louis W.; Sharpe, Jr., Joseph H.; Eryurek, Evren; Kavaklioglu, Kadir, System and method for detecting an abnormal situation associated with a heater.
  104. Sharpe, Jr., Joseph H., System and method for detecting an abnormal situation associated with a process gain of a control loop.
  105. Ford, Jr.,Ferrill E.; Eryurek,Evren, System and method for detecting an abnormal situation associated with a reactor.
  106. Morningred, John Duane; Lu, Joseph, System and method for discrete supply chain control and optimization using model predictive control.
  107. McLaughlin Paul F., System and methods for generating and distributing alarm and event notifications.
  108. Lu Zhuxin J., System and methods for globally optimizing a process facility.
  109. Eryurek, Evren; Westbrock, Jon, System for preserving and displaying process control data associated with an abnormal situation.
  110. Wenzel, Michael J.; Turney, Robert D., System identification and model development.
  111. Wenzel, Michael J.; Turney, Robert D., System identification and model development.
  112. Turney, Robert D.; Wenzel, Michael J., Systems and methods for cascaded model predictive control.
  113. Bonissone,Piero Patrone; Bollapragada,Srinivas; Chalermkraivuth,Kete Charles; Eklund,Neil Holger White; Iyer,Naresh Sundaram; Subbu,Rajesh Venkat, Systems and methods for efficient frontier supplementation in multi-objective portfolio analysis.
  114. Turney, Robert D.; Wenzel, Michael J., Systems and methods for energy cost optimization in a building system.
  115. Turney, Robert D.; Wenzel, Michael J., Systems and methods for energy cost optimization in a building system.
  116. Bollapragada, Srinivas; Bonissone, Piero Patrone; Chalermkraivuth, Kete Charles; Eklund, Neil Holger White; Iyer, Naresh Sundaram; Subbu, Rajesh Venkat, Systems and methods for initial sampling in multi-objective portfolio analysis.
  117. Bonissone, Piero Patrone; Bollapragada, Srinivas; Chalermkraivuth, Kete Charles; Eklund, Neil Holger White; Iyer, Naresh Sundaram; Subbu, Rajesh Venkat, Systems and methods for multi-objective portfolio analysis and decision-making using visualization techniques.
  118. Subbu, Rajesh Venkat; Bollapragada, Srinivas; Bonissone, Piero Patrone; Chalermkraivuth, Kete Charles; Eklund, Neil Holger White; Iyer, Naresh Sundaram, Systems and methods for multi-objective portfolio analysis using pareto sorting evolutionary algorithms.
  119. Chalermkraivuth, Kete Charles; Bollapragada, Srinivas; Bonissone, Piero Patrone; Clark, Michael Craig; Eklund, Neil Holger White; Iyer, Naresh Sundaram; Subbu, Rajesh Venkat, Systems and methods for multi-objective portfolio optimization.
  120. Lu Zhuxin J., Systems and methods using bridge models to globally optimize a process facility.
  121. Lu, Z. Joseph, Systems for generating and using a lookup table with process facility control systems and models of the same, and methods of operating such systems.
  122. Chu, Danlei; Forbes, Michael; Backstrom, Johan U., Technique for converting a model predictive control (MPC) system into an explicit two-degrees of freedom (2DOF) control system.
  123. Schleiss,Trevor D.; Nixon,Mark J.; Peterson,Neil J.; Felts,Christopher; Wilson,Grant, Transactional data communications for process control systems.
  124. Attarwala,Fakhruddin T, Use of core process models in model predictive controller.
  125. Wojsznis Wilhelm K. (Round Rock TX), Variable horizon predictor for controlling dead time dominant processes, multivariable interactive processes, and proces.
  126. Peterson, Neil J.; Deitz, David L.; Wilson, Grant; Zhou, Ling; Tanyous, Ebtesam S.; Worek, Christopher J.; Nixon, Mark J., Web services-based communications for use with process control systems.
  127. Peterson, Neil J.; Deitz, David L.; Wilson, Grant; Zhou, Ling; Tanyous, Ebtesam S.; Worek, Christopher J.; Nixon, Mark J., Web services-based communications for use with process control systems.
섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트