Time-varying sliding mode controller(TVSMC) with fuzzy algorithm for an unmanned automatic excavator system is proposed in this paper. Proposed control system is induced from dynamics of 3-link excavator that is boom, arm and bucket. To design the proposed control system, the main structure of controller is based on sliding mode controller(SMC) with time varying sliding surface. In case of TVSM...

One of the primary goals of distributed systems is effective coordinated use of their resources. In a distributed system, an imbalance load distribution on its nodes may reduce the performance of the overall system. Load balancing is a strategy to allocate arriving tasks to the proper nodes to improve the overall performance of the system. This paper introduces a classification for load balanci...

This paper deals with the problem of robust trajectory tracking control, with a guaranteed H∞ performance, for free-floating manipulator systems. A new control strategy is developed based on the robot mathematical model and a fuzzy adaptive control law. The dynamic model of the free-floating space manipulator is described through the Dynamically Equivalent Manipulator approach. The fuzzy adapti...

This chapter is aimed at improving the local and global approximation and modelling capability of Takagi-Sugeno (T-S) fuzzy model and the design of an optimal fuzzy controller. The main aim is obtaining high function approximation accuracy and fast convergence. The approach developed here can be considered as a generalized version of TS fuzzy identification method with optimized performance in ...

A fuzzy logic control (FLC) is designed to maintain constant tension for tandem rolling mills. Genetic algorithm (GA) is used as self-organization technique for FLC to locate the optimal parameters. Simulation results verify the superior performance of genetic fuzzy controller. Keywords-tension control, fuzzy logic, genetic fuzzy system, rolling mill.

This paper addresses the design of a fuzzy control system with a fuzzy controller and a fuzzy estimator for a fossil fuelled drum boiler-turbine-generator unit on the basis of a dynamic fuzzy model that was developed in our recently published paper. In the design procedure, a dynamics augmentation is introduced and a dynamic fuzzy augmented system is then determined for the nonlinear boiler-tur...

This study introduces a fuzzy linear control design method for nonlinear systems with optimal H1 robustness performance. First, the Takagi and Sugeno fuzzy linear model is employed to approximate a nonlinear system. Next, based on the fuzzy linear model, a fuzzy controller is developed to stabilize the nonlinear system, and at the same time the effect of external disturbance on control performa...

An optimal semi-active Cuckoo- Fuzzy algorithm is developed to drive the hydraulic semi-active damper for effective control of the dynamic deformation of building structures under earthquake loadings, in this paper. Hydraulic semi-active dampers (MR dampers) are semi active control devices that are managed by sending external voltage supply. A new adaptive fuzzy logic controller (FLC) is introd...

In this paper optimal control problem of fuzzy linear time invariant systems is considered. Determining of system optimal input with minimizing quadratic integral criterion by using Pontryagin Minimum Principle will make the Fuzzy Partial Differential Equations [FPDEs] system solve the problem. The quality of obtaining system optimal input by solving the FPDEs system has been studied based on n...

–This paper proposes a fuzzy based procedure to solve the optimal reactive power dispatch (ORPD) problem. Comparison studies between two linear fuzzy models namely triangular and trapezoidal fuzzy models, to solve ORPD problem is carried out for control and dependent system constraints. The proposed fuzzy ORPD model handles fuzzy objectives and constraints to obtain the optimal operational sett...