Simulation System for Speed and Flux Closed-Loop Vector Control with Torque Inner Loop

Speed and flux closed-loop vector control with a torque inner loop represents a high-performance motor control strategy widely applied in AC motor drive systems. This control methodology achieves precise regulation of motor speed and flux linkage by incorporating torque inner-loop and speed-flux closed-loop control, delivering excellent dynamic response and steady-state performance.

The simulation system primarily consists of these key components: Torque Inner Loop: Rapidly adjusts motor torque output by directly controlling the torque current component (typically i_q current in dq-axis transformation), enhancing system dynamic response through fast torque compensation algorithms. Speed Loop: Functions as the outer control loop, maintaining stable speed regulation by adjusting torque reference values based on the deviation between commanded speed and actual speed measurements, often implemented using PI controllers with anti-windup protection. Flux Closed Loop: Ensures motor flux linkage maintains near setpoint values to optimize operational efficiency and minimize adverse effects from flux fluctuations, commonly controlled through flux current component (i_d current) regulation. Coordinate Transformation: Utilizes Park and Clark transformations to convert three-phase AC quantities into easily controllable DC components, enabling decoupled control implementation through dq-axis coordinate system manipulation.

The simulation system validates control strategy effectiveness, analyzes performance under various operating conditions (such as sudden load changes, speed adjustments), and facilitates control parameter optimization. Simulation result analysis enables further refinement of system dynamic response, disturbance rejection capability, and steady-state accuracy through parameter tuning and algorithm improvements.

This control method finds applications in industrial frequency converters, electric vehicle drive systems, and other high-precision speed regulation scenarios. Its simulation implementation provides deep insights into vector control principles and design methodologies, typically involving MATLAB/Simulink modeling with S-function blocks for custom control algorithms and real-time performance monitoring.