wireless predictive control

What is it about?

This paper deals with wireless model predictive control of a water level control system. The objective of the model predictive control algorithm is to constraint the control signal inside saturation limits and to maintain the water level around the desired level. Linear modeling of any nonlinear plant leads to parameters uncertainties and non-modeled dynamics in the linearized mathematical model. These uncertainties induce a steady state error in the output response of the water level. To eliminate this steady state error and to increase the robustness of the control algorithm an integral action is included in the closed-loop. To control the water level system remotely, the communication between the controller and the process is performed using radio channel. To validate the proposed scheme, simulation and real-time implementation of the algorithm have been conducted, and the results show the effectiveness of wireless model predictive control with integral action.

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Why is it important?

control system over wireless channel is a new method to reduce the price and increase the flexibility .

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