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In this paper, constrained model predictive control (MPC) based on parallel neural network optimization is proposed to apply to pulse width modulation (PWM) rectifier and improve power quality. An decoupled model of three-phase rectifier in abc coordinates is built. Then, the constrained MPC method is proposed. This method breaks the limits of predictive control with finite set and without constraints...
This paper presents a method to design a predictive controller for a 50kW three-phase grid-tied inverter. A discrete-time model of the inverter is built in which duty ratios are modeled as continuous control variables. Then, introduce predictive control parameters P and M, and built a predictive model based on predictive controller parameters and discrete-time model. A cost function is employed as...
This paper presents a neural network predictive control strategy to optimize oxygen supply for a proton exchange membrane fuel cell system. We propose using a time varying and local linearization auto-regressive moving average with exogenous (ARMAX) to model the nonlinear system, and employing recurrent neural network to estimate coefficients of the ARMAX model. Then constrained linear model predictive...
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