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Modelling and Controller Design of Automotive Cruise Control System using Hybrid Model Predictive Controller

机译:基于混合模型预测控制器的汽车巡航控制系统建模与控制器设计

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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.
机译:车辆巡航控制系统(VCCS)用于将机车速度调节到驾驶员期望的参考速度。它主要用于减少驾驶员的驾驶疲劳。本文研究了基于模型预测控制器(MPC)与传统PID控制器并行控制的VCCS。所提出的控制系统的结果与常规技术(包括基于FLC,GA和ALO的PID控制器)进行了比较。仿真结果表明,MPC和经典PID控制器的混合组合在瞬态响应方面比最近发表的众多技术有更好的结果。

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