Good control of the screw rotating speed is vital when using multi-setpoint and ramp setpoint speed profiles during screw recovery. In addition, the controller should be adaptable for different plastic materials for minimizing overshoot and achieving a fast setting time. A predictive speed controller ...
Mathematical model,Buck converters,DC motors,Voltage control,Switches,Predictive models,TorqueThis paper presents a speed control of a buck converter driven a direct current (DC) motor. The speed control is designed and programmed to compute a constrained model predictive controller (MPC) algorithm ...
A model predictive control (MPC) approach for buck DC-DC converter is presented.the latter is based on the discrete model of converter 인용 양식 Abdelkader Merah (2025). Model Predictive Control of Buck DC-DC Converter (https://www.mathworks.com/matlabcentral/fileexchange/64992-model-...
(2013), "Model predictive control of a DC-DC converter for battery emulation," Control Engineering Practice, 21, 428-440.Oliver Konig, Gregor Gregorčič, Stefan Jakubek, "Model predictive control of a DC-DC converter for battery emulation," Control Engineering Practice,vol. 21,no. 4,pp....
Regarding deadbeat control method, a machine model is used to calculate the reference voltages, so that motor phase current is able to follow the reference current [15], [16]. Predictive deadbeat control is used in [17] to implement FT control of a five-phase BLDC machine under healthy and...
Efficient DC motor speed control using a novel multi-stage FOPD(1 + PI) controller optimized by the Pelican optimization algorithm ArticleOpen access28 September 2024 Introduction Induction motors (IM) are the workhorses of industry due to their numerous advantages such as low cost, ruggedness...
Kelly et al. first incorporated the algorithmic idea of Model Predictive Control (MPC) into trajectory research in 2003, transforming the kinematic modeling of vehicles in the driving process into a nonlinearparametric optimizationproblem, and although there are limitations of being more sensitive toinit...
Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. By solving a—potentially constrained—optimization problem, MPC determines the control law implicitly. This shifts the effort...
The main challenge for the adoption of autonomous driving is to ensure an adequate level of safety. Considering the almost infinite variability of possible
Model predictive control (MPC), as an emerging control technique for power converters, has been extensively employed in recent years, particularly in the fields of motor speed control [1] and rectifier power control [2]. Finite control set MPC is an important branch of MPC, and its excellent...