Robust Optimal Control using Sliding-Mode Design: Unit Vector Approach

نویسندگان

  • Alireza Esna Ashari
  • Mohammad Javad Yazdanpanah
چکیده

In this paper, two robust optimal control methods based on sliding mode design are introduced and implemented using the well-known unit vector approach. Time-varying sliding surfaces are implemented to solve linear optimal problems. The introduced sliding surfaces produce optimal controllers with respect to quadratic cost function. The presented design procedure is much easier than solving an HJB equation if one needs to achieve smaller costs than LQR controlled system (in which the controller designed for the linearized model and implemented to the original nonlinear model). Domain of attraction of closed-loop system is also bigger than LQR controlled system. The introduced methods are applied to an inverted pendulum system and the simulation results are presented and compared.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

AN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION

This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...

متن کامل

Robust Optimal Speed Tracking Control of a Current Sensorless Synchronous Reluctance Motor Drive using a New Sliding Mode Controller

This paper describes the robust optimal incremental motion control of a current  sensorless synchronous reluctance motor (SynRM), which can be specified by any desired speed profile. The control scheme is a combination of conventional linear quadratic (LQ) feedback control method and sliding mode control (SMC). A novel sliding switching surface is employed first, that makes the states of the Sy...

متن کامل

Hybrid Adaptive Neural Network AUV controller design with Sliding Mode Robust Term

This work addresses an autonomous underwater vehicle (AUV) for applying nonlinear control which is capable of disturbance rejection via intelligent estimation of uncertainties. Adaptive radial basis function neural network (RBF NN) controller is proposed to approximate unknown nonlinear dynamics. The problem of designing an adaptive RBF NN controller was augmented with sliding mode robust term ...

متن کامل

Robust optimal multi-objective controller design for vehicle rollover prevention

Robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. In present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. The obj...

متن کامل

Optimal Integral Sliding Mode Controller of a UAV With Considering Actuator Fault

In this paper, using the State Dependent Riccati Equation (SDRE) method, we propose a Robust Optimal Integral Sliding Mode Controller (ROISMC) to guarantee an optimal control law for a quadrotor which has become increasingly important by virtue of its high degrees of manoeuvres ability in presence of unknown time-varying external disturbances and actuator fault. The robustness of the controller...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004