- Navigate to the View menu in Simulink.
- Select the Default Partitions option.
- Update the diagram to view the default partitions and associated rates in the model.
The usage of task scheduler
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Hassan Ali
le 15 Mar 2024
Commenté : Hassan Ali
le 18 Mar 2024
Hey,
I have been going through a MATLAB example (IPMSM Velocity control) and in that example, there is something called task scheduler in controller. Can anyone explain what's its purpose and how does it work especially in the example.
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Mukendi Alonso
le 15 Mar 2024
What you ned to know about task Schedule.
The Scheduler Editor is a tool that assists in scheduling components within export-function and rate-based models. It allows users to create partitions and specify their execution order, facilitating task scheduling in both types of models. Additionally, it enables simulation of task schedules as test harnesses and generates code with entry points for each specified partition.
To utilize the Scheduler Editor, the model must be configured as fixed-step, multi-tasking, and capable of handling rate transitions automatically. This configuration enables the Scheduler Editor to manipulate partitions created with components effectively.
To access the Scheduler Editor:
In the model, there are two implicit partitions automatically created by Simulink, each associated with specific rates. These partitions are integral to the model's functioning and can be manipulated and customized using the Scheduler Editor to suit the scheduling requirements of the model.
in the second stage for IPMSM, with we consider the context of speed control for Interior Permanent Magnet Synchronous Motors (IPMSM), autotuning of the PID gains is essential. Since we are focusing on tuning the speed controller, it's important to note that the current controller plays a crucial role as part of the speed control plant. The current controller typically comprises a d-axis and q-axis PI controller, along with transformations to convert between stationary and synchronous reference frames.
To ensure consistent performance across the RPM operating range, gain scheduling is employed. This involves adjusting the PID controller's gains at specific normalized speed references. Once tuning is complete, the gains are updated using data store memory blocks. Subsequently, lookup tables are utilized to implement the gain-scheduled controller effectively.
By employing this approach, the speed control system can adapt to varying operating conditions, maintaining optimal performance throughout the motor's RPM range.
I hope the information provided in my explanation about task scheduling in Simulink was sufficient for your understanding. Now, I encourage you to apply this knowledge to your specific problem. By doing so, you will gain a deeper understanding of how task scheduling works in Simulink and how it can be utilized to address your particular challenges. Through practical application and experimentation, you will enhance your proficiency in this area and be better equipped to tackle similar tasks in the future.
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Dr.GADDALA JAYA RAJU
le 15 Mar 2024
- Purpose:
- Coordinating Control Tasks: In complex control systems like those governing IPMSMs, there are often multiple control tasks running simultaneously, such as current control, velocity control, position control, etc. The task scheduler ensures that these tasks are executed in the appropriate sequence and timing.
- Time Management: It allocates processing time for each task, making sure that critical tasks are executed within their specified time constraints to maintain system stability and performance.
- Resource Allocation: It manages the allocation of computational resources such as CPU time and memory to different control tasks based on their priority and requirements.
- How it Works:
- Task Prioritization: The task scheduler assigns priorities to different control tasks based on their importance and urgency. Tasks with higher priority, such as safety-critical functions or tasks requiring real-time responsiveness, are given precedence over lower-priority tasks.
- Time Slicing: The scheduler divides time into discrete intervals or time slices. During each time slice, the scheduler selects the highest priority task that is ready to execute and allocates CPU time for its execution.
- Task Queuing: If multiple tasks of the same priority are ready to execute, they are typically placed in a queue, and the scheduler selects tasks from this queue based on a predefined scheduling algorithm, such as First-Come-First-Served (FCFS), Round Robin, or Priority-based scheduling.
- Interrupt Handling: The scheduler handles interrupts generated by external events or high-priority tasks that require immediate attention. It suspends the currently executing task, saves its state, and switches to the interrupt service routine to handle the interrupt. Once the interrupt is serviced, the scheduler resumes the suspended task.
- Task Monitoring: The scheduler continuously monitors the status of each task, checking for completion, deadlines, and resource availability. If a task violates its timing constraints or fails to complete within the allotted time, the scheduler may take appropriate action, such as logging an error, resetting the system, or adjusting task priorities.
In the context of IPMSM velocity control, the task scheduler ensures that critical control tasks related to velocity regulation, current control, sensor feedback processing, and communication with external systems are executed in a coordinated manner to maintain smooth and precise motor operation. It helps in achieving the desired velocity profile while ensuring stability, responsiveness, and reliability of the control system.
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