PID Control for Electric Vehicles Subject to Control and Speed Signal Constraints

Author:

Dantas Amanda Danielle O. da S.1ORCID,Dantas André Felipe O. de A.2ORCID,Campos João Tiago L. S.2ORCID,de Almeida Neto Domingos L.2ORCID,Dórea Carlos Eduardo T.1ORCID

Affiliation:

1. Department of Automation and Computing, CT, Federal University of Rio Grande do Norte, 59078-970 Natal, RN, Brazil

2. Master of Engineering in Oil and Gas, Potiguar University, 59054-180 Natal, Brazil

Abstract

A PID control for electric vehicles subject to input armature voltage and angular velocity signal constraints is proposed. A PID controller for a vehicle DC motor with a separately excited field winding considering the field current constant was tuned using controlled invariant set and multiparametric programming concepts to consider the physical motor constraints as angular velocity and input armature voltage. Additionally, the integral of the error, derivative of the error constraints, and λ were considered in the proposed algorithm as tuning parameters to analyze the DC motor dynamic behaviors. The results showed that the proposed algorithm can be used to generate control actions taking into account the armature voltage and angular velocity limits. Also, results demonstrate that a controller subject to constraints can improve the electric vehicle DC motor dynamic; and at the same time it protects the motor from overvoltage.

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Modeling and Simulation

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis on the Driving and Braking Control Logic Algorithm for Mobility Energy Efficiency in Electric Vehicle;Smart Grids and Sustainable Energy;2024-02-01

2. Controlling Speed of Electric Vehicle based on Fractional order TID Controller;2023 IEEE 9th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA);2023-10-17

3. ANFIS Algorithm for E-Vehicle Power Management System;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

4. Real-Time Simulation of Battery ElectricVehiclewith PI Controller Tuned by Particle Swarm Optimization (PSO) algorithm using OPAL-RT;2023 International Conference on Power, Instrumentation, Energy and Control (PIECON);2023-02-10

5. Simulation and Modeling of Linear and Nonlinear PID Controller;Advances in Intelligent Systems and Computing;2023

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