With the ever-increasing numbers in population and quality in healthcare, it is inevitable for the demand of energy and natural resources to rise. Therefore, it is important to design highly efficient and sustainable chemical processes in the pursuit of sustainability. The performance of a chemical plant is highly affected by its design and control. A design cannot be evaluated without its controls and vice versa. To optimally address design and control simultaneously, one must formulate a bi-level mixed-integer nonlinear program with a dynamic optimization problem as the inner problem; this, is intractable. However, by computing an optimal policy using reinforcement learning, a controller with close-form expression can be found and embedded into the mathematical program. In this work, an approach using a policy gradient method along with mathematical programming to solve the problem simultaneously is proposed. The approach was tested in two case studies and the performance of the controller was evaluated. It was shown that the proposed approach outperforms current state-of-the-art control strategies. This opens a whole new range of possibilities to address the simultaneous design and control of engineering systems.


    Access

    Download


    Export, share and cite



    Title :

    Simultaneous Process Design and Control Optimization using Reinforcement Learning


    Contributors:

    Publication date :

    2021-01-01


    Remarks:

    In: Workshop: Machine Learning for Engineering Modeling, Simulation and Design. NeurIPS 2020 (2021)


    Type of media :

    Paper


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629




    Turbine Aerodynamic Design Using Reinforcement Learning Based Optimization

    Goel, S. / Hajela, P. / AIAA et al. | British Library Conference Proceedings | 1998


    Simultaneous Learning and Planning using Rapidly Exploring Random Tree* and Reinforcement Learning

    Sadhu, Arup Kumar / Shukla, Shubham / Sortee, Sarvesh et al. | IEEE | 2021


    Spacecraft Detection Avoidance Maneuver Optimization Using Reinforcement Learning

    Reiter, Jason A. / Spencer, David B. / Linares, Richard | TIBKAT | 2019


    AUTONOMOUS VEHICLE TESTING OPTIMIZATION USING OFFLINE REINFORCEMENT LEARNING

    LEE RITCHIE | European Patent Office | 2024

    Free access