Model Predictive Control News Today

The Global Automotive Adaptive Cruise Control Market Size was Valued at USD 15.63 Billion in 2023 and the Worldwide Automotive Adaptive Cruise Control...

The integrated path tracking control (PTC) of steering and braking is crucial for enhancing the stability of autonomous vehicles under extreme conditions. In the present study, a control input dimensionality-reducing method and an asynchronous sampling method are presented to address the problem of the high computational cost of the steering and braking integrated path tracking controller (PTCer) based on model predictive control (MPC). First, based on tire friction limit and tire force utilizat...

High-performance control, precise torque regulation, and minimal stator current total harmonic distortion (THD) of induction motor drives (IMDs) have always been considered an industrial concern. The conventional finite control set model predictive control (FCS-MPC) strategy suffers from high computational complication, increased torque ripple, and stator current THD, which is employed to drive the voltage source inverter (VSI) based IMD. This paper proposes an optimized method of selecting pred...

In the man-machine co-driving, most of the existing indirect cooperative shared steering control(ICSSC) strategies adopt fixed driver models and are designed based on rules. However, the fixed driver model is difficult to match with the actual situation, and the rule-based strategy is hard to be designed under the multi-dimensional feature input and the multi-objective conditions and require complicated parameters adjustment. A driver model that conforms to the driving characteristics of drivers...

BERKELEY, Calif.--(BUSINESS WIRE)--The University of California, Berkeley, Three top racing teams from this year’s IAC competition will test out the next-gen

District heating (DH) substations play a crucial role in ensuring the efficient and effective distribution of thermal energy necessary to provide space heating for buildings. However, optimizing their operation for energy savings while still ensuring indoor comfort poses significant challenges due to the complex dynamics of building demand and the inertia of building envelopes. To address these challenges, this study introduces a novel model predictive control (MPC) approach that combines a redu...

In limit conditions, autonomous vehicles face the risk of lateral instability. The integrated control of steering and braking, an important measure for improving the stability of autonomous vehicles, has been extensively studied. A novel steering and braking integrated model predictive path tracking control (PTC) based on a dimension reduction model is proposed in this study. This method aims at the dilemma of the real-time limitation of the current integrated model predictive PTC based on nonli...

This paper studies data collection in a wireless powered Internet of things (IoT) network with a hybrid access point (HAP). A fundamental problem at the HAP is to determine the number of time slots over a given planning horizon that is used to charge and collect data from devices. To this end, we outline a mixed integer linear program (MILP) to determine (i) the mode (charge or data) of each slot, (ii) the HAP’s transmit power allocation, and (iii) transmitting devices in data slots. Further, ...

Impedance source-based multilevel inverters have recently gained popularity for new renewable energy sources. This study describes a quasi Z-source (qZS) based single phase five level nested neutral point clamped (SL-NNPC). Compared to previous topologies, the suggested qZS, which uses active switches, has input continuous current and common ground between the input dc source and the converter's output dc source, which is the same as the inverter's input dc link. In addition, this conv...

PID tuning is the process of adjusting the controller's parameters to improve performance and is a challenging task for control engineers.