Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The energy efficiency of manufacturing systems represents a topic of huge interest for the management of innovative production plants. , a production cell based on three operating machines has been taken into ac- count. In particular, each machine has an independent lubrication system whose lubricant is cooled by a centralized cooling system, while the lubrication fluid temperatures must be maintained inside known upper and lor bounds, and the controller of the centralized cooling system has to minimize the cooling por. In order to control the lubrication and cooling processes, a Model Predictive Controller (MPC) has been designed, synthetized, implemented and simulated. The main advantage of the proposed algorithm consists in the possibility to directly consider the temperature limits together with the maximum bound of the cooling por directly into the optimization problem. This means that the control action is computed using the a-priori knowledge of these bounds, result- ing in better temperature profiles then those obtained with standard controllers, e.g. with saturated Proportional, Integral, Derivative (PID) ones.
['Andrea Cataldo', 'Andrea Perizzato', 'Riccardo Scattolini']
I am writing a research paper on a idea Management of a production cell lubrication system with model predictive control
[{"from": "human", "value": "I am writing a research paper on a idea Management of a production cell lubrication system with model predictive control"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The energy efficiency of manufacturing systems represents a topic of huge interest for the management of innovative production plants. , a production cell based on three operating machines has been taken into ac- count. In particular, each machine has an independent lubrication system whose lubricant is cooled by a centralized cooling system, while the lubrication fluid temperatures must be maintained inside known upper and lor bounds, and the controller of the centralized cooling system has to minimize the cooling por. In order to control the lubrication and cooling processes, a Model Predictive Controller (MPC) has been designed, synthetized, implemented and simulated. The main advantage of the proposed algorithm consists in the possibility to directly consider the temperature limits together with the maximum bound of the cooling por directly into the optimization problem. This means that the control action is computed using the a-priori knowledge of these bounds, result- ing in better temperature profiles then those obtained with standard controllers, e.g. with saturated Proportional, Integral, Derivative (PID) ones."}]