The paper presents a novel adaptive sliding mode fuzzy control strategy (AFSMC) for maintaining steam temperature in power plants. The AFSMC consists of a learning algorithm inspired by the sliding-mode control (SMC) and fuzzy gain scheduling integral control to compensate system offsets. The performance index for the learning algorithm has a similar structure to the switching variables derived...

This paper develops a new design method of parallel-distributed-compensation (PDC) fuzzysliding-mode controller. This controller is then applied to control an ecological system. A new fuzzy-blending-sliding-surface based on the PDC concept is introduced. By using this sliding-surface, a PDC-based sliding-mode controller is designed for an ecological system which is a multi-input multioutput non...

Because of the low maintenance and robustness induction motors have many applications in the industries. Most of these applications need fast and smart speed control system. This paper introduces a smart speed control system for induction motor using fuzzy Sliding mode controller. The fuzzy-logic with sliding mode speed controller is employed in the outer loop. The performance of Fuzzy Logic co...

This paper proposes an intelligent formation control method of the leader and follower agents with nonlinear dynamics. In the proposed method, agents can exchange only information of positions of available agents and the follower agents follow the leader, taking a predefined formation. In the real world, the method that doesn’t need a lot of information to make cooperative behaviors is very use...

This paper presents a new method to control of robot manipulator in task space. In the proposed control method, a combination of feedback linearization, sliding mode control and first-order TSK fuzzy system has been utilized. In this method, the bounds of structural and non-structural uncertainties by using feedback linearization method are reduced and to overcome the remaining uncertainties, s...

A fuzzy sliding mode controller is proposed in this study for ship roll stabilization. Ship dynamic models usually contain large uncertainty. Sliding mode control is well known for its good robustness to large uncertainty. However, the required uncertainty bound is usually difficult to estimate. A fuzzy logic is designed here for the upper bound estimation of the uncertainty coming mostly from ...

In this paper, we develop a new control method that brings together the advantages of fuzzy logic and sliding mode control. First, we introduce a non-chattering robust sliding mode control. Then, in order to improve the performance of the controller a fuzzy logic algorithm is integrated with the sliding mode controller. This algorithm decides the slope of the sliding surface of the sliding mode...

The objective of this work is to provide a simple and effective nonlinear controller. Our strategy involves switching the underlying strategies in order to maintain a robust control. If a disturbance moves the system outside the region of stability or the domain of attraction, it will be guided back onto the desired course by the application of a different control strategy. In the context of sw...