Attitude Control of Robotic System According to Fuzzy Logic
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.7, No. 11)Publication Date: 2018-11-30
Authors : MD Rifat Bin Emdad;
Page : 77-83
Keywords : Robotics; Fuzzy Logic; Artificial Neural Network (ANN); Attitude Control; PID controller; Controlling system; Robotic Engineering; Sensing;
Abstract
At Present world, the working intention, capability, and priority of a robot have been changed on demand. Robotics requires a working skill of electronics, mechanics, and software. When Software and machines come together there is must need of logic. Without logical conception, the robotic system couldn't be work properly. When we think about the controlling system of robot then it's a matter of complexity that which method or logic should establish. If errorless attitude needed then Fuzzy Logic is essential. It's like an umbrella term for any robotic system that does something smart. This solution will help to solve the problem on decision making that why fuzzy logic is an essential technique for controlling the attitude of robotic system.
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Last modified: 2018-11-21 14:53:00