Improved Forms for Controlling the Acrobot with Motors of Atypical Size Using Artificial Intelligence Techniques

نویسندگان

  • Gonzalo Mier
  • Javier de Lope
چکیده

An acrobot is a planar robot with a passive actuator in its first joint. The control problem of the acrobot tries to make it rise from the rest position to the inverted pendulum position. This control problem can be divided in the swing-up problem, when the robot has to rise itself through swinging up as a human acrobat does, and the balancing problem, when the robot has to maintain itself on the inverted pendulum position. We have developed three controllers for the swing-up problem applied to two types of motors: small and big. For small motors, we used the SARSA controller and the PD with a trajectory generator. For big motors, we propose a new controller to control the acrobot, a PWM controller. All controllers except SARSA are tuned using a Genetic Algorithm.

برای دانلود رایگان 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

Control of the Acrobot with Motors of Atypical Size Using Artificial Intelligence Techniques

An acrobot is a planar robot with a passive actuator in its first joint. The main purpose of this system is to make it rise from the rest position to the inverted pendulum position. This control problem can be divided in the swing-up issue, when the robot has to rise itself by swinging up as a human acrobat does, and the balancing issue, when the robot has to maintain itself in the inverted pen...

متن کامل

Optimizing speed and angle control of stepping motor by using field oriented control

In the present study, field oriented control of step motor implementation has been analyzed sothat it can make a Sensorless control. Efficiency and Facilities of step motor is more than othertypes of electromotor. Therefore, the numbers of mechanisms and different types of turning canbe made into them. Also controlling these motors is easier than other available motors. Steppingmotor has been d...

متن کامل

Prediction of Seismic Wave Intensity Generated by Bench Blasting Using Intelligence Committee Machines

In large open pit mines prediction of Peak Particle Velocity (PPV) provides useful information for safe blasting. At Sungun Copper Mine (SCM), some unstable rock slopes facing to valuable industrial facilities are both expose to high intensity daily blasting vibrations, threatening their safty. So, controlling PPV by developing accurate predictors is essential. Hence, this study proposes improv...

متن کامل

Prediction of scour dimension in the Plunge Pools below Outlet Bucket with Artificial intelligence method

Accurate prediction of sediment scour hole dimensions downstream of hydraulic structures, e.g. the outlet bucket, is a complex and not straight forward engineering problem encountered worldwide. Because of the complexities of the study, its comprehensive, simultaneous including water flow,  sediment and applying all of the effective variables involved in scouring it is not easy possible. Dimens...

متن کامل

PVT Properties of Pure Lubricants Using Equations of State and Artificial Intelligence

Statistical mechanical and artificial intelligence models are developed to predict the volumetric properties of lubricants under different conditions. It is shown that the knowledge of just liquid density at room temperature is satisfactory to approximate the PVT properties of pure lubricants in various conditions. As well, the performance of an artificial neural network (ANN) based on back pro...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017