Integrating statistical methods and nonlinear control tools for modeling, control and fault-handling in batch processes

集成统计方法和非线性控制工具,用于批量过程中的建模、控制和故障处理

基本信息

  • 批准号:
    326819-2011
  • 负责人:
  • 金额:
    $ 1.82万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

Batch processes are commonly used in the manufacturing industry either specifically to produce low volume, high value product, or exist as inherent operational aspects of primarily continuous operation (start-ups and shutdowns being prime examples). Yet, compared to the problem of modeling, control and fault handling of continuous processes, significantly less attention has been paid to the problem of batch process control. This research will focus on the problems of utilizing the synergies between first principles modeling and empirical modeling to develop an integrated and dedicated framework for batch process control. Several practical issues such as lack of measurements, constraints, inherent process non linearity and the occurrence of sensor and actuator faults will be considered. The results of the proposed research are expected to bring significant benefits to a range of industries from specialty chemicals to pharmaceutical to petrochemicals, both in the form of savings due to efficient operation and control, but also in the form of preventing environmental accidents resulting from faults. The proposed research will result in the development of highly qualified personnel in the area of batch process control in particular, and process control in general, fulfilling an important current and future need in Canadian industry.
间歇工艺通常用于制造业中,或者专门用于生产小批量、高价值的产品,或者作为主要连续操作的固有操作方面而存在(启动和关闭是主要示例)。然而,与连续过程的建模、控制和故障处理问题相比,间歇过程控制问题受到的关注明显较少。本研究将集中在利用第一性原理建模和经验建模之间的协同作用,开发一个集成的和专用的框架,间歇过程控制的问题。几个实际问题,如缺乏测量,约束,固有的过程非线性和传感器和执行器故障的发生将被考虑。拟议研究的结果预计将为从特种化学品到制药到石化产品的一系列行业带来重大利益,无论是由于有效的操作和控制而节省的形式,还是防止故障导致的环境事故的形式。拟议的研究将导致高素质的人才在该地区的间歇过程控制,特别是在一般的过程控制,满足加拿大工业当前和未来的重要需求的发展。

项目成果

期刊论文数量(0)
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Mhaskar, Prashant其他文献

Safe-Parking of a Hydrogen Production Unit
Subspace Identification-Based Modeling and Control of Batch Particulate Processes
A hybrid modeling approach integrating first-principles knowledge with statistical methods for fault detection in HVAC systems
  • DOI:
    10.1016/j.compchemeng.2020.107022
  • 发表时间:
    2020-11-02
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Hassanpour, Hesam;Mhaskar, Prashant;Salsbury, Timothy, I
  • 通讯作者:
    Salsbury, Timothy, I
Subspace model identification and model predictive control based cost analysis of a semicontinuous distillation process
  • DOI:
    10.1016/j.compchemeng.2017.03.011
  • 发表时间:
    2017-08-04
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Meidanshahi, Vida;Corbett, Brandon;Mhaskar, Prashant
  • 通讯作者:
    Mhaskar, Prashant
Lyapunov-based model predictive control of stochastic nonlinear systems
  • DOI:
    10.1016/j.automatica.2012.06.033
  • 发表时间:
    2012-09-01
  • 期刊:
  • 影响因子:
    6.4
  • 作者:
    Mahmood, Maaz;Mhaskar, Prashant
  • 通讯作者:
    Mhaskar, Prashant

Mhaskar, Prashant的其他文献

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{{ truncateString('Mhaskar, Prashant', 18)}}的其他基金

Next Generation Data Driven Modeling and Control of Batch and Batch Like Processes
下一代数据驱动的批量和类批量过程的建模和控制
  • 批准号:
    RGPIN-2022-04647
  • 财政年份:
    2022
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
A Smart Data Driven Monitoring and Control Approach: Application to Rotomolding
智能数据驱动的监测和控制方法:在滚塑中的应用
  • 批准号:
    543532-2019
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
A hybrid modeling, monitoring and control approach for wastewater treatment plants
废水处理厂的混合建模、监测和控制方法
  • 批准号:
    538117-2018
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Handling Constraints and Uncertainty in Chemical Process Operation Using Nonlinear Model Predictive Control
使用非线性模型预测控制处理化工过程操作中的约束和不确定性
  • 批准号:
    RGPIN-2016-05391
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Discovery Grants Program - Individual
Adaptive, hybrid modeling and optimization for design and control of startup processes
用于设计和控制启动过程的自适应混合建模和优化
  • 批准号:
    508697-2017
  • 财政年份:
    2021
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
A Smart Data Driven Monitoring and Control Approach: Application to Rotomolding
智能数据驱动的监测和控制方法:在滚塑中的应用
  • 批准号:
    543532-2019
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
Nonlinear and Fault Tolerant Control
非线性和容错控制
  • 批准号:
    1000231088-2015
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Canada Research Chairs
A hybrid modeling, monitoring and control approach for wastewater treatment plants
废水处理厂的混合建模、监测和控制方法
  • 批准号:
    538117-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants
A data driven modeling and control tool
数据驱动的建模和控制工具
  • 批准号:
    548804-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Idea to Innovation
Adaptive, hybrid modeling and optimization for design and control of startup processes
用于设计和控制启动过程的自适应混合建模和优化
  • 批准号:
    508697-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 1.82万
  • 项目类别:
    Collaborative Research and Development Grants

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