Development Of Smart Controller For Multisegment-SMC For Synchronous Reluctance Motor Servo Drive
نویسنده
چکیده
An incremental motion control problem, specified by a trapezoidal speed command profile using multisegment sliding mode control (MSSMC), is proposed to control synchronous reluctance motor (SRM) servo drive. Since the control gains in the MSSMC are fixed, chattering responses occur due to large external load disturbances. Therefore, a neural network (ANN) is developed to tune the control gains online. A field-oriented control SRM servo drive is implemented and each segment of the multi-segment switching surface is designed so as to match the corresponding part of the trapezoidal speed command profile. As a consequence, the motor dynamics on the specified segment switching surface have the desired speed or acceleration corresponding to the trapezoidal speed command profile. Theoretical analyses for the proposed ANN-based MSSMC are described in detail. The effectiveness of the proposed SRM servo drive is demonstrated using simulated and experimental results. Keywords— sliding mode controller, artificial neural network, synchronous reluctance motor, genetic algorithm, non-linear control
منابع مشابه
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 کاملA Thorough Comparative Analysis of PI and Sliding Mode Controllers in Permanent Magnet Synchronous Motor Drive Based on Optimization Algorithms
In this paper, the speed tracking for permanent magnet synchronous motor (PMSM) in field oriented control (FOC) method is investigated using linear proportional-integral (PI) controller, sliding mode controller (SMC) and its advanced counterparts. The advanced SMCs considered in this paper are fuzzy SMC (FSMC) and sliding mode controller with time-varying switching gain (SMC+TG) which can effec...
متن کاملRobust Control of Encoderless Synchronous Reluctance Motor Drives Based on Adaptive Backstepping and Input-Output Feedback Linearization Techniques
In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...
متن کاملRobust Petri Recurrent-Fuzzy-Neural-Network Sliding-Mode Control for Micro-PMSM Servo Drive System
This paper proposes an intelligent hybrid control system (IHCS) for identification and control of micro-permanent-magnet synchronous motor (micro-PMSM) servo drive to achieve high precision tracking performance. Based on the principle of computed torque control (CTC), a position tracking controller is designed and analyzed. Moreover, to relax the requirement of the lumped uncertainty, an IHCS i...
متن کاملA Low Cost Sensorless Control Drive Circuit for of Low Voltage Switched Reluctance Motor
Shaft position sensing is an essential part of switched reluctance (SR) motor drive In order to synchronize the pulses of phase current with the period of rising inductance of the proper motor phase. Direct sensors such as, Hall effect and optical encoder are commonly used in SR motors. The purpose of this paper is to present an indirect shaft positioning sensing known as "sensorless " control ...
متن کامل