首页|Studies Conducted at University of Technology-Iraq on Intelligent Systems Recent ly Published (Optimal design of linear and nonlinear PID controllers for speed c ontrol of an electric vehicle)
Studies Conducted at University of Technology-Iraq on Intelligent Systems Recent ly Published (Optimal design of linear and nonlinear PID controllers for speed c ontrol of an electric vehicle)
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Current study results on intelligent s ystems have been published. According to news reporting from Baghdad, Iraq, by N ewsRx journalists, research stated, "Electric vehicles (EVs) as a sustainable sa fety system are being increasingly used and receiving attention from researchers for several reasons including optimal performance, affordability for consumers, and environmental safety. EV speed control is a crucial issue that requires rel iable and intelligent controllers for maintaining this matter." Our news editors obtained a quote from the research from University of Technolog y-Iraq: "The primary goal of this research is to design the linear and nonlinear Proportional, Integral, and Derivative (PID) controllers to control EV speed ba sed on the minimum value of ITAE plus ISU (integral square of control signal) as well as satisfy the constrain on response overshoot. All the proposed PID contr ollers, conventional PID controller, arc tan PID controller, and nonlinear PID c ontroller (NL-PID) are used in cascade with EV model. In all these PID controlle rs, a filter is used with the derivative term to avoid the effect of the noise. The tuning of the proposed controller gains is achieved using Aquila Optimizatio n algorithm. The controllers' parameter tuning is primarily determined by reduci ng the Integral Time Absolute Error (ITAE) and integral square control signal. N umerical simulation, system modelling, and controller design are done using MATL AB. By comparing the results, the proposed controllers' efficacy is demonstrated ."
University of Technology-IraqBaghdadIraqAsiaIntelligent SystemsMachine Learning
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