in this study, a new servo control system is presented for the overhead crane based on discrete-time state feedback approach. it provides both robust tracking and load swing suppression. inspired from independent joint and computed torque control in robot manipulator field, a new model is derived in which the crane actuators are considered as the main plant. the crane nonlinearities are then tr...

This paper presents robust controller design for a wind-driven induction generator system using structured singular value ( -synthesis) method. The controller was designed for a static synchronous compensator (STATCOM) and a variable blade pitch angle in a wind energy conversion system (WECS) in order to achieve the required voltage and mechanical power control. The results indicated that this ...

this paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. this architecture of articial neural networks, can get a real input vector and calculates its corresponding fu...

in this paper, a new approach to modify cable tension measuring mechanism is described; furthermore, the constructed boards which amplify load cell output are introduced. this approach has some advantages including of providing feedback for motors, evaluating the robot’s ultimate load carrying capacity, improving the motor control system and estimating the vibrating deflections of the end effec...

Robust static feedback stabilization of linear systems with uncertainties and bounded control inputs is studied. Necessary and sufficient conditions of positive invariance of polyhedral domains with respect to motion of uncertain linear systems are formulated together with conditions ensuring the asymptotic stability of uncertain linear systems with bounded control inputs. The problem of robust...