
This paper examines the side brush control technologies for a novelty semi-autonomous road sweeper design. This study proposes a side brush structure and offers a brush control solution to improve working efficiency and reduce abrasive brush. For the mechanical system using a parallelogram mechanism, the direction of movement when raising and lowering the brush is always parallel to the road surface. The modeling of the side brush mechanism shows that this is a nonlinear system. Therefore, the Sliding Mode Control(SMC) was proposed and established from the dynamics equation. The Lyapunov theorem demonstrates its stability. Besides, we also consider the proportional-integral-derivative (PID) controller to evaluate the responsiveness of the linear controller for a nonlinear system. Finally, the parameters of the controllers are optimized by a genetic algorithm to consider the response of the sliding mode control compared to the PID controller to control the road sweeper side brush with different references.
Iterative Learning Control in Engineering Practice, Artificial intelligence, street sweeper, Sliding mode control, Motion Control, FOS: Mechanical engineering, Control (management), pid controller, Quantum mechanics, Engineering, genetic algorithm (ga), Control theory (sociology), Control system, Biology, Parallelogram, Temperature control, Mechanical Engineering, Control engineering, Physics, Controller (irrigation), Mechanics of engineering. Applied mechanics, sliding mode control, Mechanism (biology), TA349-359, Engineering (General). Civil engineering (General), Computer science, Mechanical engineering, Agronomy, Dynamics and Faults in Gear Systems, side brush, Analysis and Control of Axially Moving Dynamics, Control and Systems Engineering, Brush, Hinge, Electrical engineering, Physical Sciences, Control Strategies, Nonlinear system, PID controller, road surfaces nonlinear system, TA1-2040
Iterative Learning Control in Engineering Practice, Artificial intelligence, street sweeper, Sliding mode control, Motion Control, FOS: Mechanical engineering, Control (management), pid controller, Quantum mechanics, Engineering, genetic algorithm (ga), Control theory (sociology), Control system, Biology, Parallelogram, Temperature control, Mechanical Engineering, Control engineering, Physics, Controller (irrigation), Mechanics of engineering. Applied mechanics, sliding mode control, Mechanism (biology), TA349-359, Engineering (General). Civil engineering (General), Computer science, Mechanical engineering, Agronomy, Dynamics and Faults in Gear Systems, side brush, Analysis and Control of Axially Moving Dynamics, Control and Systems Engineering, Brush, Hinge, Electrical engineering, Physical Sciences, Control Strategies, Nonlinear system, PID controller, road surfaces nonlinear system, TA1-2040
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