Since the trash can is not sanitary and fails to do the garbage classification, a household intelligent trash can based on SCM is designed. Firstly, the hardware of the intelligent trash can is designed, whose function includes garbage classification, voice tracking, UV disinfection, and other hardware circuit design. In this design, a speech recognition module is used to classify trash cans, UV disinfection lamp components are employed to achieve the disinfection and sterilization of garbage viruses, and the tracking function is used to realize the free movement of trash cans, providing great convenience for the intelligent trash cans. Secondly, combined with software design, the system functions are further improved to make the trash can more intelligent and practical.
A multivariable generalized predictive decoupling control algorithm with constraints is proposed for a series multivariable system composed of complex industrial plants. The tracking error caused by the coupling of the system can be reduced by changing the weight of the error, so that the coupling degree of the system can be reduced. The constraint conditions of the system variables are considered, and the control variables are obtained by quadratic programming. The simulation results of the proposed method and the conventional multivariable constrained generalized predictive control algorithm on a series plant show the superiority of the algorithm.
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