Trajectory Tracking Control of a Four Rotor Unmanned Aerial Vehicle Based on Continuous Sliding Mode Controller

In this paper, a nonlinear Continuous Sliding Mode control (CSMC) application is presented for trajectory tracking control of a four rotor unmanned aerial vehicle (UAV) called the Quadrotor, also known as micro helicopter. The proposed controller is tested with different time-varying reference routes to provide a stable flight for position control. To show the effectiveness of the designed CSMC, well-tuned PI controller is also applied to quadrotor for the same routes. The current position of the quadrotor is taken from accelerometer, gyroscope and ultrasonic sensors. The experimental results show that the CSMC is adequate to dealing with parameter uncertainties occur in the system dynamics while flying and has satisfactory performance in terms of robustness against to disturbances and error elimination when it compared with PI controller

Speed and Direction Angle Control of Four Wheel Drive Skid-Steered Mobile Robot by Using Fractional Order PI Controller

In this paper, speed and direction angle control of four-wheel drive skid-steered mobile robot (4WD SSMR) is realized by Fractional-Order Proportional Integral (FOPI) controller. Speed and direction angle of the mobile robot are calculated by using angular velocity of each motors. FOPI controller produces the torques of each motor of mobile robot for trajectory tracking and stabilization in the desired position. A well-tuned conventional PI controller is also applied to mobile robot for comparison with the FOPI. Experimental results prove that the FOPI shows better trajectory tracking performance than PI controller in terms of trajectory tracking accuracy and error levels

REAL TIME FUZZY BASED SPEED AND DIRECTION ANGLE CONTROL OF AN AUTOMATED GUIDED VEHICLE

basci, abdullah/0000-0003-4141-2880WOS: 000443154600006Bu çalışmada, Otomatik Yönlendirmeli Aracın (OYA) gövde hızı ve gövde açısı kontrolü gerçek zamanlı olarak bulanık mantık kontrolcü ile gerçekleştirilmiştir. OYA’nın gövde hızı ve gövde açısı denetimi ile aracın iki boyutlu düzlemde istenilen yörüngeyi takip etmesi sağlanmıştır. Ayrıca, bulanık mantık kontrolcünün performansı PI kontrolcü ile mukayese edilmiş ve deneysel sonuçlar bulanık mantık kontrolcünün PI kontrolcüye oranla daha kararlı ve daha uygun kontrol işaretleri ürettiğini ve dinamik değişimlere daha hızlı cevap verdiğini göstermiştir. Kontrolcü performansları ayrıca ani harici bozucu etki ve ekstra yük için incelenmiş ve başarılı sonuçlar elde edilmiştirIn this paper a fuzzy controller is applied to velocity and direction angle control of a certain type of wheeled mobile robots called Automated Guided Vehicles (AGVs). The velocity and direction angle of the AGV are controlled to keep the vehicle on desired path. A PI controller is also applied to AGV in order to show the robustness of the fuzzy controller. Experimental results prove that the fuzzy controller shows better tracking performance than the PI controller in terms of robustness, smoothness and fast dynamics. Results are also given for sudden disturbance and extra load conditions and satisfied results are obtained

Optimal phase current profiling of SRM by fuzzy logic controller to minimize torque ripple

This paper presents torque ripple minimization of Switched Reluctance Motor (SRM) by using fuzzy speed controller. The nonlinear model of SRM is used and the motor used in simulation is a 8/6 SRM with C-Dump converter. The Fuzzy controller adjusts value of reference current to keep speed constant. The results show that the fuzzy logic is effective in reducing the torque ripple of the motor, and compensating for the nonlinear torque characteristics

An adaptive compensator for a vehicle driven by DC motors

A vehicle system driven by two independent DC motors is presented here, one of which is used for the right wheel and the other is used for the left wheel. An adaptive compensator using Takagi-Sugeno fuzzy systems is proposed to control the vehicle system. The compensator includes an adaptive model identifier and adaptive controller. An online method is used to adjust the parameters of the identifier model to match the behavior model of the vehicle system. Then, the parameters of the identifier model are employed in a standard parallel-distributed compensator to provide asymptotically stable equilibrium for the closed-loop vehicle drive system, in which the velocity and direction angle of the vehicle are controlled. Results demonstrate that the proposed controller structure is robust to load changes and follows different trajectories very well. (c) 2004 The Franklin Institute. Published by Elsevier Ltd. All rights reserved