Stabilizing control of two-wheeled wheelchair with movable payload using optimized interval type-2 fuzzy logic

The control schemes of a wheelchair having two wheels with movable payload utilizing the concept of a double-link inverted pendulum have been investigated in this article. The proposed wheelchair has been simulated using SimWise 4D software considering the most efficient parameters. These parameters are extracted using the spiral dynamic algorithm while being controlled with interval type-2 fuzzy logic controller (IT2FLC). The robustness and stability of the implemented controller are assessed under different situations including standing upright, forward motion and application of varying directions and magnitudes of outer disturbances to movable (up and down) system payload. It is shown that the two-wheeled wheelchair adopted by the newly introduced controller has achieved a 94% drop in torque for both Link1 and Link2 and more than 98% fall in distance travelled in comparison with fuzzy logic control type-1 (FLCT1) controller employed in an earlier design. The present study has further considered the increased nonlinearity and complexity of the additional moving payload. From the outcome of this study, it is obvious that the proposed IT2FLC-spiral dynamic algorithm demonstrates better performance than FLCT1 to manage the uncertainties and nonlinearities in case of a movable payload two-wheel wheelchair system

Stabilization control of a two-wheeled triple links inverted pendulum system with disturbance rejection

This paper focuses on the robust controller for triple Links inverted pendulum on two-wheeled system. The development of triple Link inverted pendulum on two-wheeled model using CAD based software, SimWise 4D is proposed. Interval Type-2 Fuzzy Logic Control (IT2FLC) used as control algorithm for the system. This system is multi input and multi output system which means each motor in this system is controlled by one controller to achieve stability or upright position for these three links. The robustness of the controller is tested by applying disturbance to the model to observe the response from the model to handle the uncertainties. The performance of IT2FLC is compared with Type-1 Fuzzy Logic Control (T1FLC) to demonstrate best controller for the system. The experiment results concerning the angular position for each three Links and the maximum value of disturbance rejection for both controllers are obtained by using heuristic tuning for input and output gain control

Control of a two-wheeled robot using interval type-2 fuzzy logic with particle swarm optimization

Two-wheeled robot self-balancing has gained much interest of researchers due to its nonlinear dynamics. This project is aimed to design an Interval Type-2 Fuzzy Logic Controller to control a two-wheeled LEGO EV3 robot self-balancing to keep it in the upright position. In this project, two-wheeled LEGO EV3 robot is modelled using SimWise 4D software and integrated with Simulink. The robot stability performance and output response are observed at the same time when the Simulink is executed. System identification is used to get the mathematical model of the system in state space based on input and output from SimWise 4D motion to compare both results. The state space is used during optimization of IT2FLS using Particle Swarm Optimization (PSO). The performances of Interval Type 2 Fuzzy Logic Controller (IT2FLC) and optimized IT2FLS are compared. The robustness of IT2FLS is observed during disturbance rejection by injecting different direction of 0.8N and 1.0N torque to the robot in first 15 seconds

Stabilization of two-wheeled wheelchair with movable payload based interval type-2 fuzzy logic controller

In this paper, an Interval Type-2 Fuzzy Logic Control (IT2FLC) is proposed to control a stabilization of two-wheeled wheelchair system with moving payload. The two-wheeled wheelchair system is similarly with double-links inverted pendulum system but with additional of movable payload up to 0.3 m to reach a higher level of height. Thus, this two-wheeled wheelchair configuration becomes more complex, unstable and highly nonlinear system. The 300 N concentrated force is applied at the back of the wheelchair seat in two conditions; in the initial condition before the payload is lifted and in the maximum height of the payload to test the robustness of the controller. SimWise 4D (SW4D) software is used to develop a 3-Dimensional (3D) model of the two-wheeled wheelchair, which replaces a complex mathematical representation. The SW4D is used to visualize the movement of the system as it is integrated with Matlab Simulink. IT2FLC will be compared with Fuzzy Logic Control Type 1 (FLCT1) and the simulation results show that the IT2FLC give a good performance in term of angular position of both links in the upright position and maintain stable.