Research-Stack/5-Applications/scripts/pwm_controller_computational.py

#!/usr/bin/env python3
"""
PWM Controller Computational Repurposing
Analyzes PWM (Pulse Width Modulation) controllers for general-purpose computation capabilities.
"""

import json
from pathlib import Path
from typing import Dict, List, Optional

# Paths
OUTPUT_DIR = Path("/home/allaun/Documents/Research Stack/out")

class PWMControllerComputational:
    """Analyzes PWM controllers for general computation."""
    
    def __init__(self):
        self.pwm_controller = {
            "device": "PWM Controller (Pulse Width Modulation)",
            "concept": "Use PWM duty cycle and frequency for computation",
            "type": "PWM circuits for power regulation, motor control, signal generation",
            "frequency_range": "1 Hz - 1 MHz (typical)",
            "duty_cycle_range": "0-100%",
            "computational_potential": "MEDIUM-HIGH (duty cycle arithmetic, frequency modulation, time-based computation)"
        }
        
        self.pwm_capabilities = {
            "duty_cycle": "Pulse width modulation (0-100% duty cycle)",
            "frequency": "PWM frequency (1 Hz - 1 MHz)",
            "phase": "PWM phase shift (0-360 degrees)",
            "multiple_channels": "Multiple PWM channels for parallel computation",
            "timer_based": "Timer/counter based PWM generation"
        }
    
    def analyze_computational_potential(self) -> Dict:
        """Analyze computational potential of PWM controller."""
        analysis = {
            "duty_cycle_computation": {
                "feasible": True,
                "mode": "Duty cycle computation",
                "description": "Use PWM duty cycle for computational values",
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "PWM period limited (1us - 1s)",
                "precision": "8-16 bit duty cycle resolution",
                "power": "1-5W (PWM controller)",
                "risk": "LOW (non-invasive)"
            },
            "frequency_modulation": {
                "feasible": True,
                "mode": "Frequency modulation computation",
                "description": "Use PWM frequency for computational encoding",
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Frequency change latency (1us - 1ms)",
                "precision": "Frequency resolution (0.1% - 1%)",
                "power": "1-5W",
                "risk": "LOW (non-invasive)"
            },
            "phase_modulation": {
                "feasible": True,
                "mode": "Phase modulation computation",
                "description": "Use PWM phase shift for computational encoding",
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Phase change latency (1us - 1ms)",
                "precision": "8-12 bit phase resolution",
                "power": "1-5W",
                "risk": "LOW (non-invasive)"
            },
            "multi_channel_parallel": {
                "feasible": True,
                "mode": "Multi-channel parallel computation",
                "description": "Use multiple PWM channels for parallel computation",
                "throughput": "N x frequency (N channels)",
                "latency": "PWM period limited",
                "precision": "8-16 bit per channel",
                "power": "2-10W (multiple channels)",
                "risk": "LOW-MEDIUM (channel coordination)"
            }
        }
        
        return analysis
    
    def design_computational_approach(self) -> Dict:
        """Design PWM controller computational approach."""
        approach = {
            "duty_cycle_computation": {
                "concept": "Use PWM duty cycle for computation",
                "implementation": "Encode computational values in duty cycle",
                "operations": ["duty cycle arithmetic", "pulse width encoding", "time-based state"],
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "PWM period limited (1us - 1s)",
                "precision": "8-16 bit duty cycle",
                "power": "1-5W",
                "risk": "LOW"
            },
            "frequency_modulation": {
                "concept": "Use PWM frequency for computation",
                "implementation": "Encode computational values in frequency",
                "operations": ["frequency arithmetic", "modulation encoding", "FM computation"],
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Frequency change latency (1us - 1ms)",
                "precision": "0.1% - 1% frequency resolution",
                "power": "1-5W",
                "risk": "LOW"
            },
            "phase_modulation": {
                "concept": "Use PWM phase for computation",
                "implementation": "Encode computational values in phase shift",
                "operations": ["phase arithmetic", "phase encoding", "PM computation"],
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Phase change latency (1us - 1ms)",
                "precision": "8-12 bit phase resolution",
                "power": "1-5W",
                "risk": "LOW"
            },
            "multi_channel": {
                "concept": "Use multiple PWM channels for parallel computation",
                "implementation": "Parallel computation across PWM channels",
                "operations": ["parallel duty cycle", "parallel frequency", "channel arithmetic"],
                "throughput": "N x frequency (N channels)",
                "latency": "PWM period limited",
                "precision": "8-16 bit per channel",
                "power": "2-10W",
                "risk": "LOW-MEDIUM"
            }
        }
        
        return approach
    
    def estimate_performance(self) -> Dict:
        """Estimate performance of PWM controller computation."""
        performance = {
            "duty_cycle": {
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "PWM period limited (1us - 1s)",
                "precision": "8-16 bit duty cycle",
                "operations": "duty cycle arithmetic",
                "power": "1-5W"
            },
            "frequency_modulation": {
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Frequency change latency (1us - 1ms)",
                "precision": "0.1% - 1% frequency resolution",
                "operations": "frequency arithmetic",
                "power": "1-5W"
            },
            "phase_modulation": {
                "throughput": "Frequency limited (1 Hz - 1 MHz)",
                "latency": "Phase change latency (1us - 1ms)",
                "precision": "8-12 bit phase resolution",
                "operations": "phase arithmetic",
                "power": "1-5W"
            },
            "multi_channel": {
                "throughput": "N x frequency (N channels)",
                "latency": "PWM period limited",
                "precision": "8-16 bit per channel",
                "operations": "parallel processing",
                "power": "2-10W"
            }
        }
        
        return performance
    
    def run_analysis(self) -> Dict:
        """Run PWM controller computational analysis."""
        print("=" * 60)
        print("PWM CONTROLLER COMPUTATIONAL ANALYSIS")
        print("=" * 60)
        
        # Step 1: Analyze PWM controller
        print("\n[1/4] Analyzing PWM controller...")
        print(f"  Device: {self.pwm_controller['device']}")
        print(f"  Concept: {self.pwm_controller['concept']}")
        print(f"  Type: {self.pwm_controller['type']}")
        print(f"  Frequency Range: {self.pwm_controller['frequency_range']}")
        print(f"  Computational Potential: {self.pwm_controller['computational_potential']}")
        
        # Step 2: Analyze computational potential
        print("[2/4] Analyzing computational potential...")
        potential = self.analyze_computational_potential()
        print(f"  Duty Cycle: {potential['duty_cycle_computation']['feasible']} - {potential['duty_cycle_computation']['risk']}")
        print(f"  Frequency Modulation: {potential['frequency_modulation']['feasible']} - {potential['frequency_modulation']['risk']}")
        print(f"  Phase Modulation: {potential['phase_modulation']['feasible']} - {potential['phase_modulation']['risk']}")
        print(f"  Multi-Channel: {potential['multi_channel_parallel']['feasible']} - {potential['multi_channel_parallel']['risk']}")
        
        # Step 3: Design computational approach
        print("[3/4] Designing computational approach...")
        approach = self.design_computational_approach()
        print(f"  Computational modes: {len(approach)}")
        for mode, details in approach.items():
            print(f"    {mode}: {details['throughput']} - {details['risk']}")
        
        # Step 4: Estimate performance
        print("[4/4] Estimating performance...")
        performance = self.estimate_performance()
        print(f"  Duty Cycle: {performance['duty_cycle']['throughput']}")
        print(f"  Frequency Modulation: {performance['frequency_modulation']['throughput']}")
        print(f"  Phase Modulation: {performance['phase_modulation']['throughput']}")
        print(f"  Multi-Channel: {performance['multi_channel']['throughput']}")
        
        print("\n" + "=" * 60)
        print("PWM CONTROLLER COMPUTATIONAL ANALYSIS COMPLETE")
        print("=" * 60)
        
        return {
            "pwm_controller": self.pwm_controller,
            "pwm_capabilities": self.pwm_capabilities,
            "computational_potential": potential,
            "computational_approach": approach,
            "performance_estimates": performance
        }

if __name__ == '__main__':
    analyzer = PWMControllerComputational()
    results = analyzer.run_analysis()
    
    # Save results
    output_file = OUTPUT_DIR / "pwm_controller_computational.json"
    with open(output_file, 'w') as f:
        json.dump(results, f, indent=2)
    
    print(f"\nAnalysis results saved to {output_file}")
    
    # Print summary
    print("\n" + "=" * 60)
    print("PWM CONTROLLER COMPUTATIONAL SUMMARY")
    print("=" * 60)
    print(f"Device: {results['pwm_controller']['device']}")
    print(f"Frequency Range: {results['pwm_controller']['frequency_range']}")
    print(f"Computational Potential: {results['pwm_controller']['computational_potential']}")
    print(f"Max Throughput: {results['performance_estimates']['multi_channel']['throughput']}")