An adaptive gain, smooth sliding observer-controller is developed to control n -degree of freedom rigid robotic manipulators with uncertain parameters. Furthermore, an on-line closed loop identification scheme, for time-varying parameters is proposed in order to obtain useful information despite loads, external disturbances and faults detection. In order to reduce the chattering, a smooth switc...

This paper introduces an adaptive sliding mode controller design based on fuzzy compensation for efficient robotic manipulator tracking control. work of Adaptive Fuzzy Controller control principles Robotic Manipulators. In the work, algorithm is proposed robot manipulators. The system uses a set rules, parameters which are modified in real-time by laws, to approximate unknown nonlinearities. ma...

In this paper, force/motion tracking control is investigated for nonholonomic mobile manipulators with unknown parameters and disturbances under uncertain holonomic constraints. The nonholonomic mobile manipulator is transformed into a reduced chained form, and then, robust adaptive force/motion control with hybrid variable signals is proposed to compensate for parametric uncertainties and supp...

this paper presents a stable new algorithm for force/position control in robot manipulators. in this algorithm, position vectors are measured by sensors and then used in the control law. since using force sensor has some issues such as high costs and technical problems, an approach is presented to overcome these issues. in this respect, force sensor is replaced by an adaptive fuzzy estimator to...

The major control problems for robot debuning mainly arise from uncertainty of the robot manipulators and complex deburring process. In this paper, a new design of hybrid force/position control of robot manipulators via adaptive fuzzy approach is proposed to solve these problems. The control architecture consists of an outer-loop command generator which can automatically determine the desired r...

This work addresses an autonomous underwater vehicle (AUV) for applying nonlinear control which is capable of disturbance rejection via intelligent estimation of uncertainties. Adaptive radial basis function neural network (RBF NN) controller is proposed to approximate unknown nonlinear dynamics. The problem of designing an adaptive RBF NN controller was augmented with sliding mode robust term ...

Flexible-link robotic manipulators are mechanical devices whose control can be rather challenging, among other reasons because of their intrinsic under-actuated nature. This chapter presents various experimental studies of diverse robust control schemes for this kind of robotic arms. The proposed designs are based on several control strategies with well defined theoretical foundations whose eff...

A mixed Optimal/robust control is proposed is this paper for the tracking of rigid robotic systems under parametric uncertainties and external perturbations. The design objective is that under a prescribed disturbance norm level, an optimal control system is to be designed as well as a robust control to overcome the effect of uncertainties. The optimal control is based on the solution of a nonl...

An initial-rectification adaptive iterative learning control scheme is proposed to solve the angle tracking problem of robot manipulators with input deadzone under nonzero initial errors. Lyapunov approach utilized design controller. First, auxiliary reference signal constructed overcome obstacle caused by errors during ILC design. Second, strategy and robust are adopted for dealing nonlinearit...