Description
Overview
Essential details:PPC-R22.1N-T-Q2-G2-NN-FW PPC Controllers
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PPC-R22.1N-T-Q2-G2-NN-FW PPC Controllers
Specifically, the PPC controller first builds a physical model, puts the current information and the amount to be output into it, and then uses predictions and expectations as a cost function to find the output that can minimize the cost function, which is the current optimal output. The cost function is established on the basis of the expectation of the ideal route and the predicted result, which represents the difference between the ideal route and the current predicted result.
PPC controllers also have the following features:
Prediction of the future: Through the use of physical models and other prediction methods, PPC controllers are able to predict future states, enabling adjustment and control decisions to be made in advance.
Optimal control: During the control process, the PPC controller looks for the best output that minimizes the cost function to achieve optimal control.
Flexibility and robustness: PPC controller can deal with uncertainty and disturbance, and has good robustness. At the same time, it has the flexibility to adapt to different control needs and scenarios.
Calculation efficiency: By optimizing algorithms and mathematical models, PPC controller can complete calculation and control tasks in a short time, thereby improving the response speed and efficiency of the system.
In general, PPC controller is an advanced control technology, with the advantages of prediction, optimization, flexibility and efficiency, which can be widely used in various industrial control and automation fields.