Design of an Adaptive FO-PID Controller for an In-Wheel-Motor Driven Electric Vehicle

Features
Event
WCX™ 17: SAE World Congress Experience
Authors Abstract
Content
An EV prototype, with all the wheels respectively driven by 4 inwheel motors, is developed, and undergoes a series of practical measurements and road tests. Based on the obtained vehicle parameters, a multi-body dynamics model is built by using SolidWorks and Adams/Car, and then validated by track test data. The virtual prototype is served as the control plant in simulation. An adaptive fractional order PID (A-FO-PID) controller is designed to enhance the handling and stability performance of the EV. Considering the model uncertainties, e.g. the variation in body mass distribution and the consequent change in yaw moment of inertial, a Parameter Self-Adjusting Differential Evolution (PSA-DE) algorithm is adopted for tuning the controller parameters, i.e. KP, KI, KD, λ and μ. As a modification of traditional DE algorithm, the so-called Variance of Population’s Fitness is utilized to evaluate the diversity of the population. In order to avoid the premature convergence problem, a random disturbance is applied on the scaling factor in each iteration step, until the optimal solution is resolved. The simulation tests under some typical handling cases are carried out, and the results show that the proposed A-FO-PID controller is feasible and effective to enhance the handling and stability performance of the vehicle.
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DOI
https://doi.org/10.4271/2017-01-0427
Pages
10
Citation
Shi, Y., Liu, Q., and Yu, F., "Design of an Adaptive FO-PID Controller for an In-Wheel-Motor Driven Electric Vehicle," Commercial Vehicles 10(1):265-274, 2017, https://doi.org/10.4271/2017-01-0427.
Additional Details
Publisher
Published
Mar 28, 2017
Product Code
2017-01-0427
Content Type
Journal Article
Language
English