Neuro-PID Control for Electric Vehicle | Zendy

S. Ōmatu | Zendy; Michifumi Yoshioka | Zendy; Toru Fujinaka | Zendy

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Neuro-PID Control for Electric Vehicle

Author(s) -

S. Ōmatu,

Michifumi Yoshioka,

Toru Fujinaka

Publication year - 2011

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2011.p0846

Subject(s) - pid controller , computer science , control theory (sociology) , control (management) , artificial neural network , electric vehicle , process (computing) , control system , torque , control engineering , process control , temperature control , artificial intelligence , engineering , power (physics) , physics , quantum mechanics , electrical engineering , thermodynamics , operating system

In this paper we consider the neuro-control method and its application to control problems of an electric vehicle. The neuro-control methods adopted here is based on Proportional-plus-Integral-plus-Derivative (PID) control, which has been adopted to solve process control or intelligent control problems. In Japan about eighty four percent of the process industries have used the PID control. After deriving the self-tuning PID control scheme (neuro-PID) using the learning ability of the neural network, we will show the control results by using the speed and torque control of an electric vehicle.

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