Sliding Mode Control for Electric Power Assist Systems
نویسندگان
چکیده
منابع مشابه
Load Frequency Control in Power Systems Using Multi Objective Genetic Algorithm & Fuzzy Sliding Mode Control
This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal of design is to improve the dynamic response of power systems after load demand changes. In t...
متن کاملAdaptive Gain Sliding Mode Control for Multimachine Power Systems
In this paper a new excitation control is developed for multimachine power systems that improves the transient stability. The design is based on the sliding mode technique which is applied on an equivalent model of the system obtained by using the backstepping technique. However, the conventional “sign” method with constant gains is replaced by the boundary layer sliding mode technique with tim...
متن کاملSliding Mode Control in Mechanical Systems with Electric Actuators
The design procedure should consist of selecting the switching manifold with sliding mode in order to design the desired dynamics of the motion equation and finding a discontinuous control function such that the state reaches the manifold and sliding mode exists in that manifold. The design of control for systems given by (1) can be easily performed for systems in the so-called Regular form. If...
متن کاملadaptive and sliding mode control for non- linear systems
this paper deals with a globally convergent adaptive and sliding mode control of a cart-pole inverted pendulum for trajectory tracking in the presence of a bounded measurement noise and parameter uncertainty. two kinds of controllers have been used for evaluation of tracking error in presence of a bounded noise; as a result, we want to compare that at what time we can see the convergence of tra...
متن کاملload frequency control in power systems using multi objective genetic algorithm & fuzzy sliding mode control
this study proposes a combination of a fuzzy sliding mode controller (fsmc) with integral-proportion-derivative switching surface based superconducting magnetic energy storage (smes) and pid tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. the goal of design is to improve the dynamic response of power systems after load demand changes. in t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of System Design and Dynamics
سال: 2007
ISSN: 1881-3046
DOI: 10.1299/jsdd.1.159