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- W4386004641 abstract "In this paper, a proportional integral derivative (PID) controller is developed to apply to the dynamics model of the two-wheeled self-balancing (TWSB) robot. The proposed control strategy is created using a PID controller in conjunction with a genetic algorithm, PID-GA for short. The parameters are selected based on the genetic algorithm method to help the system achieve the fastest stability. Therefore, the controller has a simple structure and is easy to implement in practice. Based on the simulation result, it can be seen clearly that the TWSB robot control system’s output values closely match the target values and that the error is roughly zero, which demonstrates the proposed controller’s effectiveness and performance." @default.
- W4386004641 created "2023-08-20" @default.
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- W4386004641 date "2023-01-01" @default.
- W4386004641 modified "2023-10-12" @default.
- W4386004641 title "Optimized PID Controller for Two-Wheeled Self-balancing Robot Based on Genetic Algorithm" @default.
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- W4386004641 doi "https://doi.org/10.1007/978-981-99-4725-6_9" @default.
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