The high nonlinearity and time-varying coefficients characterize the elbow exoskeleton system for rehabilitation. To deal with these difficult control challenges, nonlinear reliable controllers are needed. This paper shows use of Sliding Mode Control (SMC) to track trajectory an Elbow Exoskeleton System (EES) presence parameter uncertainty. Whale Optimization Algorithm (WOA) algorithm is used t...

This paper presents a Variable Structure Sliding Mode Control (VS-SMC) scheme and Direct Torque Control (DTC) for Wind Farm (WF) based on the Permanent Magnet Synchronous Generator (PMSG). The WF consists of a 3 PMSGs which are connected to a common dc bus system with rectifier. The dc-bus is connected to the electrical network using only one inverter system, a grid-side filter as well as the t...

This paper deals with the development of different control techniques such as Fuzzy, Sliding mode, and Sliding Mode fuzzy controllers for the servo drive system. Servomotors are widely used in industry due to their relatively low cost and high reliability. To get high performances we have to control the input variable in uncertainties and disturbance. Two cases are discussed for each control sc...

The paper briefly introduces examples of high-level model-based control ( Sliding Mode Control – SMC and Generalized Predictive Control – GPC ) applied to the redundant parallel robots. The objective is a presentation of using MATLAB – SIMULINK environment for real-time simulation and visualization of control of these robots. Implementation is accomplished by combination of C MEX S-Functions an...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

Induction Motors have been used as the workhorse in the industry for a long time due to its easy build, high robustness, and generally satisfactory efficiency. However, they are significantly more difficult to control than DC motors. One of the problems which might cause unsuccessful attempts for designing a proper controller would be the time varying nature of parameters and variables which mi...

This study examines the feasibility of applying adaptive fuzzy sliding mode control (AFSMC) strategies to reduce the dynamic responses of buildings constructed using a lead rubber bearing (LRB) isolation hybrid protective system. Recently developed control devices for civil engineering structures, including hybrid systems and semi-active systems, have been found to have inherent nonlinear prope...

This paper presents a robust control strategy which is based on synergistic combination of a neural controller with sliding mode control (SMC) for online control of ankle movement using functional electrical stimulation (FES) of dorsiflexor and plantar flexor muscles in paraplegic subjects. We will refer to this method as neuroSMC. The results indicate that neuro-SMC control can automatically d...

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...