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Near Optimal PID Controllers for the Biped Robot While Walking on Uneven Terrains
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作者 Ravi Kumar Mandava Pandu Ranga Vundavilli 《International Journal of Automation and computing》 EI CSCD 2018年第6期689-706,共18页
The execution of the gaits generated with the help of a gait planner is a crucial task in biped locomotion. This task is to be achieved with the help of a suitable torque based controller to ensure smooth walk of the ... The execution of the gaits generated with the help of a gait planner is a crucial task in biped locomotion. This task is to be achieved with the help of a suitable torque based controller to ensure smooth walk of the biped robot. It is important to note that the success of the developed proportion integration differentiation (PID) controller depends on the selected gains of the controller. In the present study, an attempt is made to tune the gains of the PID controller for the biped robot ascending and descending the stair case and sloping surface with the help of two non-traditional optimization algorithms, namely modified chaotic invasive weed optimization (MCIWO) and particle swarm optimization (PSO) algorithms. Once the optimal PID controllers are developed, a simulation study has been conducted in computer for obtaining the optimal tuning parameters of the controller of the biped robot. Finally, the optimal gait angles obtained by using the best controller are fed to the real biped robot and found that the biped robot has successfully negotiated the said terrains. 展开更多
关键词 Biped robot STAIRCASE sloping surface proportion integration differentiation (PID) controller modified chaotic invasive weed optimization (MCIWO) particle swarm optimization (PSO) algorithm.
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