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Artifi cial Intelligence Based Fractional Order PID Control Strategy for Active Magnetic Bearing
Laldingliana Jonathan,Biswas Pabitra Kumar 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
Conventional PID controllers are commonly used in active magnetic bearing systems and encounter some stability problems during extremely dynamic operation. This paper proposed a fractional order proportional–integral–derivative (FO-PID) controller to improve the stability and performance of the active magnetic bearing (AMB) system. In comparison to traditional PID controller, FOPID controllers have fi ve control variables- proportional, integral, integral order, derivative, and derivative order. In this research work, Single coil A-AMB designed in a laboratory has been controlled utilizing the FOPID controller. Using artifi cial intelligence methods, such as particle swarm optimization the fi ve FO-PID variables and three PID control variables are calibrated and the controllers evaluated. The process overshoot condition and the time specifi cation constraints are considered in the optimization technique. For validating the simulation results hardware prototype is fabricated.
PMSM Position Control with a SUI PID Controller
Mohamed I. Abu El-Sebah 전력전자학회 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.2
This paper introduces the application of a SUI PID controller for permanent magnet (PM) drive systems. The drive system model is developed via FO control. Simulation of the system is carried out to predict the performance at no load and under load. The results and comparisons indicate that application of a SUI PID controller is effective for sensorless PM drive systems.
HIERARCHICAL DIRECT YAW-MOMENT CONTROL SYSTEM DESIGN FOR IN-WHEEL MOTOR DRIVEN ELECTRIC VEHICLE
Shi Yue,Yu Fan 한국자동차공학회 2018 International journal of automotive technology Vol.19 No.4
In this study, a hierarchical structured direct yaw-moment control (DYC) system, which consists of a main-loop controller and a servo-loop controller, is designed to enhance the handling and stability of an in-wheel motor driven driven electric vehicle (IEV). In the main loop, a Fractional Order PID (FO-PID) controller is proposed to generate desired external yaw moment. A modified Differential Evolution (M-DE) algorithm is adopted to optimize the controller parameters. In the servo-loop controller, the desired external yaw moment is optimally distributed to individual wheel torques by using sequential quadratic programming (SQP) approach, with the tire force boundaries estimated by Unscented Kalman Filter (UKF) based on a fitted empirical tire model. The IEV prototype is virtually modelled by using Adams/Car collaborating with SolidWorks, validated by track tests, and serves as the control plant for simulation. The feasibility and effectiveness of the designed control system are examined by simulations in typical handling maneuver scenarios.
PMSM Position Control with a SUI PID Controller
Abu El-Sebah, Mohamed I. The Korean Institute of Power Electronics 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.2
This paper introduces the application of a SUI PID controller for permanent magnet (PM) drive systems. The drive system model is developed via FO control. Simulation of the system is carried out to predict the performance at no load and under load. The results and comparisons indicate that application of a SUI PID controller is effective for sensorless PM drive systems.