Design and Analysis of PID controller for Fuel Economy Driving

• Published in: Proceedings - 2022 International Conference on Computer and Drone Applications, IConDA 2022
• Main Author: Badruddin M.I.; Bakri F.A.; Sulaiman M.S.; Saad Z.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146707851&doi=10.1109%2fICONDA56696.2022.10000357&partnerID=40&md5=261e19f791c64b92ca0029c9a8647966

The investigation of developing a proportional-integral-derivative (PID) controller for multi-speed vehicle control for a proposed auto-cruise vehicle application is presented in this work. The multi-speed auto-cruise method is suggested to reduce the vehicle's fuel consumption. A model of the system's dynamics is used to calculate the vehicle's speed and fuel consumption. The Proton Gen 2 is employed as the basis for the model's specifications, which include the powerplant, chassis, dimensions, and weight (2014). PID controllers were simulated using linear models. The road gradient is seen as a model disturbance. The Ziegler-Nichols PID tuning technique was used, and comparisons were made. Additionally, based on the features of the responses, each simulated result is compared and evaluated. The fuel consumption of the original model and PID model are recorded and compared. The ideal desired speed is dependent on the slope and condition of the road, as well as the vehicle's fuel consumption. By comparing both models, the fuel consumption for PID controlled model is efficient by 53.15%, 54.44% and 53.62% at speed 60.0 km/h, 70.0km/h and 90.0km/h respectively during 30° of inclination. Next, the fuel consumption for the PID controlled model is efficient by 0.12%, 0.28% and 0.50% at speed 60km/h, 70km/h and 90km/h respectively compared to the original model during 30° road declination which is downhill. The proposed PID controller is more fuel efficient than the original model when applied to different road slopes, according to the validation results from both model vehicles comparing a (PID) controller and original model. The multi-speed PID controlled ideas have finally been put forth. © 2022 IEEE.