Abstract
Vehicle Cruise Control System (VCCS) is used to regulate the speed of the locomotive to a reference speed as desired by the driver. It is mainly used to reduce the driving exhaustion on the driver. This research paper deals with the control of VCCS based on Model Predictive Controller (MPC) in parallel with the conventional PID controller. The results of the proposed control system are compared with the conventional techniques including FLC, GA and ALO based PID controller. Simulation results show that the hybrid combination of MPC and classical PID controller has better outcome with regard to transient state response than numerous published techniques in recent times.
| Original language | English |
|---|---|
| Title of host publication | 15th International Conference on Emerging Technologies, ICET 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728154039 |
| DOIs | |
| State | Published - Dec 2019 |
| Externally published | Yes |
Publication series
| Name | 15th International Conference on Emerging Technologies, ICET 2019 |
|---|
Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Ant Lion Optimizer
- Fuzzy Logic Control
- Genetic Algorithm
- Model Predictive Controller
- PID Controller
- Vehicle cruise control system
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Electrical and Electronic Engineering
- Control and Optimization
- Health Informatics
- Instrumentation