SENSORLESS SPEED CONTROL OF THE DIRECT CURRENT MOTORS

In this paper, a new speed control algorithm for a permanent magnet DC motor which does not require implementation of the angular speed sensor is presented. Three steps are performed to develop the control system: design of speed tracking control algorithm assuming the speed measurement; design of speed observer; design of sensorless speed control algorithm based on the principle of separation. Information about speed is taken from the speed observer using the motor current value. The stability of the composite system dynamics consisting of three subsystems (the speed regulation loop, current regulation loop, and speed observer) is analyzed. The feedback gains tuning procedure for decoupling of three subsystems is given. The simulation results show that the dynamic performance of the designed system is similar to the performance of the system with angular speed measurement. The resulting closed-loop system has structural robustness properties with respect to parametric and coordinate disturbances. References 12, figures 2

Delay Estimation and Predictive Control of Uncertain Systems With Input Delay: Application to a DC Motor

International audienceIt is well-known that standard predictive techniques are not very robust to parameter uncertainties and to external disturbances. Furthermore, they require the exact knowledge of the delay. In practice, these constraints are rarely satisfied. In this paper, solutions are presented to allow the use of predictive control in presence of external disturbances, parameter uncertainties and an unknown input delay. First, a recent predictive control method developed to attenuate the effect of external disturbances is shown to be also robust to parameter uncertainties. In addition, a delay estimator is presented to estimate unknown time-varying delays. Theoretical results are widely illustrated through experimental tests on a DC motor

Perancangan Fault Tolerant Control Pada Pengendalian Speed Sensorless Motor DC

Dalam penelitian ini dikembangkan metode mengenai sistem kontrol tanpa sensor kecepatan (speed sensorless) dengan menggunakan metode observer pada sistem servo motor DC. Gangguan pada motor DC dapat terjadi akibat adanya pengaruh torsi beban. Oleh karena itu, diperlukan sistem kontrol yang mampu menoleransi gangguan berupa torsi beban. Sistem kontrol yang digunakan yaitu fault tolerant control (FTC). Pemodelan motor DC dilakukan menggunakan identifikasi sistem metode parametrik. Langkah pertama yang dilakukan adalah merancang kontroler, kontroler yang digunakan adalah state feedback dengan integrator menghasilkan nilai Kp sebesar 14,136 dan -6,757 sedangkan Ki sebesar 89,285. Langkah berikutnya adalah merancang observer sebagai softsensor yang berfungsi untuk mengestimasi kecepatan. Berdasarkan hasil penelitian bahwa observer yang dirancang memiliki nilai estimasi kecepatan yang sama dengan hasil aktual, sehingga observer sudah mampu bekerja sebagai softsensor. Dengan karakteristik respon settling time sebesar 105 milidetik dan tidak terjadi error steady-state maupun maximum overshoot. Ketika terjadi penambahan torsi beban, sistem motor DC mengalami maximum undershoot yang menunjukkan terjadinya kesalahan atau penyimpangan. Namun dengan menggunakan sistem FTC, kecepatan dari motor DC dapat kembali ke nilai setpoint yang telah ditentukan dengan waktu yang diperlukan sebesar 1225 milidetik. ================================================================================================================================ In this study developed a method regarding the control system without a sensorless speed sensor using the Observer method on the DC motor servo system. Interference with a DC motor can occur due to the influence of load torque. Therefore, a control system is required to tolerate interference in the form of load torque. The control system used is fault tolerant control (FTC). Modelling of DC Motors is carried out using parametric system identification methods. The first step is to design a controller, the controller used is the state feedback with the integrator generating a Kp value of 14.136 and -6.757 while the Ki amounted to 89.285. The next step is to design the observer to estimate the speed (sensorless). Based on the research results that the observer is designed to have the same speed estimation value as the actual result, so that the observer is able to work as a softsensor. With the slurries time response characteristic of 105 milliseconds and no steady-state and maximum overshoot error. When the addition of load torque occurs, DC motor systems undergo a maximum undershoot indicating errors or irregularities. However by using the FTC system, the speed of the DC motor can return to a specified setpoint value with a required time of 1225 milliseconds

Speed sensorless and sensor-fault tolerant optimal PI regulator for networked DC motor system with unknown time-delay and packet dropout

Sensorless and sensor-fault-resilient control of a networked dc motor system (NDCMS) with an optimal integral-square-error proportional-integral (PI) controller is considered, while network-induced delays and packet dropouts are taken into account. A sliding-mode observer is developed to estimate rotor speed and unknown load torque for the networked system. Then, a PI controller is designed such that the overall NDCMS with complete or partial sensor failure is stabilized and a linear quadratic cost function is sufficiently minimized. Optimal controller parameters are determined by solving bilinear matrix inequalities. The numerical and experimental tests are performed to evaluate the feasibility and applicability of the networked sensorless or sensor-fault-tolerant controller. The results show good performance in both estimation and control objectives

Performance Analysis For Wireless G (IEEE 802.11 G) And Wireless N (IEEE 802.11 N) In Outdoor Environment

This paper described an analysis the different capabilities and limitation of both IEEE technologies that has been utilized for data transmission directed to mobile device. In this work, we have compared an IEEE 802.11/g/n outdoor environment to know what technology is better. the comparison consider on coverage area (mobility), through put and measuring the interferences. The work presented here is to help the researchers to select the best technology depending of their deploying case, and investigate the best variant for outdoor. The tool used is Iperf software which is to measure the data transmission performance of IEEE 802.11n and IEEE 802.11g

Performance analysis for wireless G (IEEE 802.11G) and wireless N (IEEE 802.11N) in outdoor environment

This paper described an analysis the different capabilities and limitation of both IEEE technologies that has been utilized for data transmission directed to mobile device. In this work, we have compared an IEEE 802.11/g/n outdoor environment to know what technology is better. The comparison consider on coverage area (mobility), throughput and measuring the interferences. The work presented here is to help the researchers to select the best technology depending of their deploying case, and investigate the best variant for outdoor. The tool used is Iperf software which is to measure the data transmission performance of IEEE 802.11n and IEEE 802.11g